Triple
T1480687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiroo |
E30947
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Hiroo Station |
E471968
|
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: Hiroo Station | Statement: [Hiroo, hasLandmark, Hiroo Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroo Station Context triple: [Hiroo, hasLandmark, Hiroo Station]
-
A.
Hiroo Station
chosen
Hiroo Station is a subway station in Tokyo, Japan, serving the Hiroo district on the Tokyo Metro Hibiya Line.
-
B.
Ebisu Station
Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
-
C.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
D.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
E.
Oshiage Station
Oshiage Station is a major railway and subway hub in Tokyo’s Sumida ward, serving multiple lines and providing access to the Tokyo Skytree area.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c674cc9c819088fc9146c7a7a914 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c5e461c8190b4c7f728e2d8632c |
completed | March 21, 2026, 8:52 a.m. |
Created at: March 1, 2026, 8:11 p.m.