Triple
T18495690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yomiuri Land |
E451940
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Inagi, Tokyo |
—
|
NE NERFINISHED |
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: Inagi, Tokyo | Statement: [Yomiuri Land, locatedIn, Inagi, Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inagi, Tokyo Context triple: [Yomiuri Land, locatedIn, Inagi, Tokyo]
-
A.
Inagi, Tokyo
chosen
Inagi, Tokyo is a suburban city in western Tokyo Metropolis known for its residential neighborhoods and role as a commuter area served by multiple railway lines.
-
B.
Aoyama, Tokyo
Aoyama, Tokyo is an upscale neighborhood in Minato Ward known for its fashionable boutiques, trendy cafes, art galleries, and modern architecture.
-
C.
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.
-
D.
Nakano, Tokyo
Nakano, Tokyo is a special ward in western Tokyo known for its dense residential neighborhoods, vibrant shopping streets, and pop culture hub around Nakano Broadway.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532bfeef4819096b2fa28abb662b9 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:35 a.m.