Triple
T21541489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingū |
E531499
|
entity |
| Predicate | hasComponentShrine |
P27875
|
FINISHED |
| Object | Naikū |
—
|
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: Naikū | Statement: [Jingū, hasComponentShrine, Naikū]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naikū Context triple: [Jingū, hasComponentShrine, Naikū]
-
A.
Naikū
chosen
Naikū is the inner sanctuary of Japan’s Ise Grand Shrine, dedicated to the sun goddess Amaterasu and regarded as one of Shinto’s most sacred sites.
-
B.
Nikaho
Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
-
C.
Nankani
Nankani are an ethnic group of northern Ghana and southern Burkina Faso, closely related culturally and linguistically to other Gur-speaking peoples of the region.
-
D.
Nikai
Nikai is the namesake of the Nikai school, likely a person of significance such as a founder, benefactor, or notable figure associated with the institution.
-
E.
Kiali
Kiali is an observability and management console for Istio-based service meshes, providing traffic visualization, configuration insight, and troubleshooting tools.
- 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.