Triple
T15572859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Other Franciscan Sites |
E374290
|
entity |
| Predicate | criterionOf |
P50251
|
FINISHED |
| Object | UNESCO cultural criterion (iii) |
—
|
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: UNESCO cultural criterion (iii) | Statement: [Other Franciscan Sites, criterionOf, UNESCO cultural criterion (iii)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criterionOf Context triple: [Other Franciscan Sites, criterionOf, UNESCO cultural criterion (iii)]
-
A.
proposesCriterion
Indicates that one entity suggests or puts forward a specific criterion to be considered or used by another entity or within a given context.
-
B.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
-
C.
hasQualityCriterion
chosen
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
D.
primaryCriterion
Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
-
E.
notableCriterion
Indicates that something is distinguished or recognized based on a particular standard, measure, or qualifying condition.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.