Triple
T262030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo |
E5560
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sumida
Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
|
E34202
|
NE FINISHED |
How this triple was built (4 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: Sumida | Statement: [Tokyo, contains, Sumida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumida Context triple: [Tokyo, contains, Sumida]
-
A.
Shibuya Stream
Shibuya Stream is a large mixed-use complex in Tokyo’s Shibuya district, featuring offices, shops, restaurants, and public spaces integrated with the area’s major transportation hub.
-
B.
Izumi
Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
-
C.
Moriguchi
Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
-
D.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
E.
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.
- 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: Sumida Triple: [Tokyo, contains, Sumida]
Generated description
Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sumida Target entity description: Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
-
A.
Shibuya Stream
Shibuya Stream is a large mixed-use complex in Tokyo’s Shibuya district, featuring offices, shops, restaurants, and public spaces integrated with the area’s major transportation hub.
-
B.
Izumi
Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
-
C.
Moriguchi
Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
-
D.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d7428dc8190ae12b12a21fcc6cb |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38618a6e4819080e2d8ee3d828af7 |
completed | March 1, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69a387f84b848190abf95906325f7806 |
completed | March 1, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3884bff5081909785fbc6681bb430 |
completed | March 1, 2026, 12:29 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.