Triple
T14733476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodaira |
E346139
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Nishitokyo |
E909720
|
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: Nishitokyo | Statement: [Kodaira, borderedBy, Nishitokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nishitokyo Context triple: [Kodaira, borderedBy, Nishitokyo]
-
A.
Nishitokyo
Nishitokyo is a suburban city in western Tokyo, Japan, known primarily as a residential area within the Tokyo metropolitan region.
-
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.
Nishitōkyō, Tokyo
chosen
Nishitōkyō is a residential city in western Tokyo Metropolis known for its suburban character and role as a commuter area for central Tokyo.
-
D.
Kunitachi, Tokyo
Kunitachi, Tokyo is a suburban city in western Tokyo known for its academic institutions, tree-lined avenues, and reputation as a quiet, residential college town.
-
E.
Katsushika, Tokyo
Katsushika, Tokyo is a northeastern special ward of Tokyo known for its traditional shitamachi atmosphere, residential neighborhoods, and riverside areas along the Edogawa and Arakawa.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce3d1d88190951e88bef88db500 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.