Triple
T6631265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumano Nachi Taisha |
E149929
|
entity |
| Predicate | Nachi-no-Hi MatsuriFeature |
P27591
|
FINISHED |
| Object | giant torches carried by white-robed bearers |
—
|
LITERAL 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: giant torches carried by white-robed bearers | Statement: [Kumano Nachi Taisha, Nachi-no-Hi MatsuriFeature, giant torches carried by white-robed bearers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Nachi-no-Hi MatsuriFeature Context triple: [Kumano Nachi Taisha, Nachi-no-Hi MatsuriFeature, giant torches carried by white-robed bearers]
-
A.
AtsutaShrineIs
Indicates that something has the status, identity, or defining characteristics of Atsuta Shrine.
-
B.
TenjinMatsuriLocation
Indicates the location where the Tenjin Matsuri festival takes place or is held.
-
C.
typicalShrineFeature
chosen
Indicates that something is a characteristic or commonly found element of a shrine.
-
D.
hasTorii
Indicates that something possesses or features a torii gate as part of its structure or environment.
-
E.
containsFamousShrine
Indicates that a location includes within its boundaries a shrine that is widely recognized or renowned.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:59 p.m.