Triple
T21541490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingū |
E531499
|
entity |
| Predicate | hasComponentShrine |
P27875
|
FINISHED |
| Object | Gekū |
—
|
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: Gekū | Statement: [Jingū, hasComponentShrine, Gekū]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gekū Context triple: [Jingū, hasComponentShrine, Gekū]
-
A.
Gekū
chosen
Gekū is one of the two main shrines of the Ise Grand Shrine complex in Japan, traditionally dedicated to the Shinto deity of food, clothing, and shelter.
-
B.
Genkū
Genkū is the religious name of Hōnen, the influential Japanese Buddhist priest who founded the Jōdo-shū (Pure Land) school in the late 12th century.
-
C.
Kgoshi
Kgoshi is a traditional royal title used for a king or paramount chief among the Bapedi people of South Africa.
-
D.
Gishin
Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
-
E.
Geikie
Geikie is a Scottish surname most notably associated with Archibald Geikie, a prominent 19th-century geologist and director of the British Geological Survey.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d12b264819096f844b5833198aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:28 p.m.