Triple
T10242862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suginami |
E243639
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Asagaya
Asagaya is a residential and commercial neighborhood in Tokyo known for its traditional shopping streets, local festivals, and convenient access to central Tokyo.
|
E955716
|
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: Asagaya | Statement: [Suginami, contains, Asagaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asagaya Context triple: [Suginami, contains, Asagaya]
-
A.
Kamitabashi
Kamitabashi is a residential neighborhood located in the Kita ward of Tokyo, Japan.
-
B.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
C.
Nagatacho
Nagatacho is a central district in Tokyo, Japan, known as the political heart of the country and home to key government institutions such as the National Diet Building.
-
D.
Komagome
Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
-
E.
Asakusabashi
Asakusabashi is a district in Tokyo known for its traditional wholesale shops, craft stores, and convenient access to central city areas.
- 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: Asagaya Triple: [Suginami, contains, Asagaya]
Generated description
Asagaya is a residential and commercial neighborhood in Tokyo known for its traditional shopping streets, local festivals, and convenient access to central Tokyo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asagaya Target entity description: Asagaya is a residential and commercial neighborhood in Tokyo known for its traditional shopping streets, local festivals, and convenient access to central Tokyo.
-
A.
Kamitabashi
Kamitabashi is a residential neighborhood located in the Kita ward of Tokyo, Japan.
-
B.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
C.
Nagatacho
Nagatacho is a central district in Tokyo, Japan, known as the political heart of the country and home to key government institutions such as the National Diet Building.
-
D.
Komagome
Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
-
E.
Asakusabashi
Asakusabashi is a district in Tokyo known for its traditional wholesale shops, craft stores, and convenient access to central city areas.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d229c1ac8190a86e911aea47a56d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4578899ac81908b6e3c8948ca6628 |
completed | May 1, 2026, 7:34 a.m. |
| NEDg | Description generation | batch_69f4645a7038819089d7533715f8a430 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4664ff9608190b23e29b3e5c1c326 |
completed | May 1, 2026, 8:37 a.m. |
Created at: April 6, 2026, 11:25 a.m.