Triple
T2579927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama Cemetery |
E57064
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fuchu, Tokyo |
E357806
|
NE FINISHED |
How this triple was built (2 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: Fuchu, Tokyo | Statement: [Tama Cemetery, locatedIn, Fuchu, Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuchu, Tokyo Context triple: [Tama Cemetery, locatedIn, Fuchu, Tokyo]
-
A.
Fuchu, Tokyo
chosen
Fuchu, Tokyo is a city in western Tokyo Metropolis known for its blend of residential suburbs, historical sites, and major facilities such as racetracks and large cemeteries.
-
B.
Hachiōji
Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
-
C.
Fussa, Tokyo
Fussa, Tokyo is a city in western Tokyo Metropolis known for hosting the Yokota Air Base and having a strong U.S. military presence.
-
D.
Musashino
Musashino is a suburban city in western Tokyo, Japan, known for the popular Kichijoji district and its blend of residential neighborhoods, shopping areas, and parks.
-
E.
Nerima, Tokyo
Nerima, Tokyo is a residential special ward in northwestern Tokyo known for its suburban character, parks, and role as a hub for anime production studios.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a9fd3c8190a521931e40cd801c |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367dc88ac81909e73e290c745b8be |
completed | March 13, 2026, 1:26 a.m. |
Created at: March 6, 2026, 9:49 p.m.