Triple
T16059482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buzan-ha |
E389568
|
entity |
| Predicate | headquarters |
P62
|
FINISHED |
| Object | Hase-dera |
—
|
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: Hase-dera | Statement: [Buzan-ha, headquarters, Hase-dera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hase-dera Context triple: [Buzan-ha, headquarters, Hase-dera]
-
A.
Hase-dera
chosen
Hase-dera is a historic Japanese Buddhist temple renowned for its large statue of Kannon, the bodhisattva of compassion, and its scenic hillside setting.
-
B.
Gotokuji Temple
Gotokuji Temple is a historic Buddhist temple in Tokyo famed as the birthplace of the beckoning cat (maneki-neko) legend and its thousands of cat figurines.
-
C.
Hozenji Temple
Hozenji Temple is a small, historic Buddhist temple in Osaka’s Namba district, famed for its moss-covered Fudō Myōō statue that visitors splash with water for good fortune.
-
D.
Shosanji Temple
Shosanji Temple is a historic Buddhist temple in Tokushima Prefecture, Japan, known as the 12th stop on the Shikoku 88-temple pilgrimage.
-
E.
Gokokuji Temple
Gokokuji Temple is a historic Buddhist temple in Tokyo known for its well-preserved Edo-period architecture and tranquil grounds.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837729e4819086e7429e0a76b0d7 |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 4:57 a.m.