Triple
T24739574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimane Prefecture |
E618513
|
entity |
| Predicate | hasFamousShrine |
P24330
|
FINISHED |
| Object | Izumo Taisha |
—
|
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: Izumo Taisha | Statement: [Shimane Prefecture, hasFamousShrine, Izumo Taisha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamousShrine Context triple: [Shimane Prefecture, hasFamousShrine, Izumo Taisha]
-
A.
containsFamousShrine
chosen
Indicates that a location includes within its boundaries a shrine that is widely recognized or renowned.
-
B.
hasMajorShrine
Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
-
C.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
D.
hasNearbyShrine
Indicates that one entity is located close to or in the vicinity of a shrine associated with another entity.
-
E.
containsShrine
Indicates that one entity includes or has within its boundaries a shrine associated with it.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 4:04 a.m.