Triple
T34764589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Miwa |
E1002167
|
entity |
| Predicate | worshipRules |
P134244
|
FINISHED |
| Object | photography restrictions on sacred areas |
—
|
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: photography restrictions on sacred areas | Statement: [Mount Miwa, worshipRules, photography restrictions on sacred areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worshipRules Context triple: [Mount Miwa, worshipRules, photography restrictions on sacred areas]
-
A.
worshipPrinciple
Indicates that one entity regards another as sacred or divine and performs acts of reverence, devotion, or religious honor toward it.
-
B.
worshipType
Indicates the manner or form in which worship is practiced or expressed in a religious or spiritual context.
-
C.
worshipStructure
Indicates that one entity is a building or physical structure specifically used for religious or spiritual worship by another entity or group.
-
D.
worshipPeriod
Indicates the time span or specific period during which an act of worship or religious devotion takes place.
-
E.
worshipIssue
chosen
Indicates that one entity has a concern, problem, or topic specifically related to worship in relation to another entity.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.