Triple
T21370100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ujigami Shrine |
E527031
|
entity |
| Predicate | oldestExistingShintoShrineStatus |
P144010
|
FINISHED |
| Object | one of the oldest existing Shinto shrines in Japan |
—
|
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: one of the oldest existing Shinto shrines in Japan | Statement: [Ujigami Shrine, oldestExistingShintoShrineStatus, one of the oldest existing Shinto shrines in Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldestExistingShintoShrineStatus Context triple: [Ujigami Shrine, oldestExistingShintoShrineStatus, one of the oldest existing Shinto shrines in Japan]
-
A.
AtsutaShrineIs
Indicates that something has the status, identity, or defining characteristics of Atsuta Shrine.
-
B.
foundedAsShrine
Indicates that an entity was originally established or created as a shrine.
-
C.
stateShrineOf
Indicates that one entity is officially designated as a state-recognized shrine associated with or located within another entity (typically a state or region).
-
D.
countryShrineOf
Indicates that a country is the location or host nation of a particular shrine.
-
E.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0adbbc081908ed4d839f7cf8f38 |
completed | April 22, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e61b3e47f881908fb2aac9bd2bfb58 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 16, 2026, 5:10 p.m.