Triple
T11685010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seibu Railway |
E277715
|
entity |
| Predicate | servesDestination |
P2066
|
FINISHED |
| Object | Tokorozawa area |
E526535
|
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: Tokorozawa area | Statement: [Seibu Railway, servesDestination, Tokorozawa area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokorozawa area Context triple: [Seibu Railway, servesDestination, Tokorozawa area]
-
A.
Yokokawa area
The Yokokawa area is one of the three main temple precincts of Enryaku-ji on Mount Hiei, known for its secluded, forested setting and historic Buddhist halls.
-
B.
Tokorozawa
chosen
Tokorozawa is a commuter city in the Greater Tokyo area of Japan, known for its residential neighborhoods, aviation history, and role as a transport hub in southern Saitama.
-
C.
Aoyama area
The Aoyama area is an upscale Tokyo neighborhood known for its fashionable boutiques, contemporary architecture, and trendy cafes and galleries.
-
D.
Misato area
Misato area is a residential and commercial district within Okinawa City on Japan’s Okinawa Island.
-
E.
Tenshiba area
Tenshiba area is a lively, family-friendly outdoor zone at the entrance of Tennoji Park in Osaka, featuring lawns, cafes, shops, and event spaces.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417302ffc81908d222c4e01fa3e95 |
completed | May 1, 2026, 3 a.m. |
Created at: April 8, 2026, 9:40 p.m.