Triple
T29441904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenmangū shrine network |
E746737
|
entity |
| Predicate | hasMainFestivalAt |
P26210
|
FINISHED |
| Object | Osaka Tenmangū |
—
|
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: Osaka Tenmangū | Statement: [Tenmangū shrine network, hasMainFestivalAt, Osaka Tenmangū]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainFestivalAt Context triple: [Tenmangū shrine network, hasMainFestivalAt, Osaka Tenmangū]
-
A.
festivalHeldIn
chosen
Indicates that a festival takes place or is hosted at a specific location or venue.
-
B.
festivalFoundedIn
Indicates that a festival was established or created in a specific year or time period.
-
C.
isMajorTourismEventFor
Indicates that an event is a primary or highly significant attraction for tourism in relation to a particular place or entity.
-
D.
locatedInFestivalCity
Indicates that an entity is situated within or belongs to a city that is designated as a festival city.
-
E.
hasFestivalDepicted
Indicates that a work or representation includes a depiction or portrayal of a festival.
- F. None of above.
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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: April 28, 2026, 3:23 p.m.