Triple
T14066873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiroshi Hara |
E338497
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kyoto Station Building |
E54607
|
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: Kyoto Station Building | Statement: [Hiroshi Hara, notableWork, Kyoto Station Building]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyoto Station Building Context triple: [Hiroshi Hara, notableWork, Kyoto Station Building]
-
A.
Kyoto City Hall
Kyoto City Hall is the main administrative and governmental headquarters of the city of Kyoto, Japan.
-
B.
Kyoto Station
chosen
Kyoto Station is a major railway and transportation hub in Kyoto, Japan, known for its vast, modern architectural complex that integrates trains, buses, shopping, and cultural facilities.
-
C.
Koishikawa Depot
Koishikawa Depot is a major Tokyo Metro rail yard and maintenance facility serving trains on the Marunouchi Line in Tokyo, Japan.
-
D.
Himeji City Hall
Himeji City Hall is the main municipal government building and administrative center serving the city of Himeji in Hyōgo Prefecture, Japan.
-
E.
Kyoto Tower
Kyoto Tower is a prominent modern observation tower and landmark in Kyoto, offering panoramic views of the historic city from its central location.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66aeff8819088239226bbe25fd5 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.