Triple
T11549641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inari |
E273856
|
entity |
| Predicate | numberOfShrinesInJapan |
P27588
|
FINISHED |
| Object | many thousands |
—
|
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: many thousands | Statement: [Inari, numberOfShrinesInJapan, many thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShrinesInJapan Context triple: [Inari, numberOfShrinesInJapan, many thousands]
-
A.
numberOfShrines
chosen
Indicates the total count of shrines associated with a given entity or context.
-
B.
enshrines
Indicates that one entity formally preserves, protects, or honors another by giving it a permanent, often sacred or legally recognized, status.
-
C.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
D.
pilgrimageTempleCount
Indicates the number of temples associated with or visited during a particular pilgrimage.
-
E.
shrineRank
Indicates the hierarchical or status level assigned to a shrine relative to other shrines.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e615b08190a072924329a94a6a |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087e57b48190a4c253dc0210f9d4 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.