Triple
T1126203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Ginza Line |
E24724
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object |
Ueno
Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
|
E151036
|
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: Ueno | Statement: [Tokyo Metro Ginza Line, servesDistrict, Ueno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueno Context triple: [Tokyo Metro Ginza Line, servesDistrict, Ueno]
-
A.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
B.
Asakusa
Asakusa is a historic district in Tokyo best known for its ancient Sensō-ji Temple, traditional shopping streets, and preserved old-town atmosphere.
-
C.
Ikebukuro
Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
-
D.
Gion district
Gion district is Kyoto’s famous traditional entertainment quarter, renowned for its historic wooden machiya houses, teahouses, and geisha (geiko and maiko) culture.
-
E.
Chiyoda
Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative hub, housing the Imperial Palace, the National Diet, and many government institutions.
- 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: Ueno Triple: [Tokyo Metro Ginza Line, servesDistrict, Ueno]
Generated description
Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ueno Target entity description: Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
-
A.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
B.
Asakusa
Asakusa is a historic district in Tokyo best known for its ancient Sensō-ji Temple, traditional shopping streets, and preserved old-town atmosphere.
-
C.
Ikebukuro
Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
-
D.
Gion district
Gion district is Kyoto’s famous traditional entertainment quarter, renowned for its historic wooden machiya houses, teahouses, and geisha (geiko and maiko) culture.
-
E.
Chiyoda
Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative hub, housing the Imperial Palace, the National Diet, and many government institutions.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdc2718819094f5519ffb56993b |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf10d9488190b199a70335430a90 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf77a3748190a510ea10d8ae4373 |
completed | March 8, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbfe5eae88190ba65808402ada37f |
completed | March 8, 2026, 12:16 a.m. |
Created at: March 1, 2026, 7:44 p.m.