Triple
T8861486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishiyama-dera |
E210897
|
entity |
| Predicate | pilgrimageTempleNumber |
P16195
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Ishiyama-dera, pilgrimageTempleNumber, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageTempleNumber Context triple: [Ishiyama-dera, pilgrimageTempleNumber, 13]
-
A.
pilgrimageTempleCount
chosen
Indicates the number of temples associated with or visited during a particular pilgrimage.
-
B.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
-
C.
majorTempleLocation
Indicates that a major temple associated with an entity is located at a specified place.
-
D.
hasTempleCount
Indicates that an entity is associated with a specified number of temples.
-
E.
associatedTemple
Indicates a relationship where one entity is linked or connected to a particular temple, typically as its relevant or related religious site.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:50 p.m.