Triple
T514531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokohama |
E10676
|
entity |
| Predicate | hasWard |
P14475
|
FINISHED |
| Object |
Naka-ku
Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
|
E72347
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Naka-ku | Statement: [Yokohama, hasWard, Naka-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naka-ku Context triple: [Yokohama, hasWard, Naka-ku]
-
A.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
B.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
C.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
D.
Kitano-cho
Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
-
E.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Naka-ku Triple: [Yokohama, hasWard, Naka-ku]
Generated description
Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naka-ku Target entity description: Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
-
A.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
B.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
C.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
D.
Kitano-cho
Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
-
E.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWard Context triple: [Yokohama, hasWard, Naka-ku]
-
A.
containsWard
chosen
Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
-
B.
numberOfSpecialWards
Indicates the count of wards that are designated as special within a given context or entity.
-
C.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
D.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
E.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501bb88f88190b1de92ca77606d2f |
completed | March 2, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69a503b501388190baed19e781c24b4d |
completed | March 2, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5077cf14081909478ea1e0fd3eff5 |
completed | March 2, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.