Triple
T7419855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNESCO cultural criteria (iv) |
E171217
|
entity |
| Predicate | criterionNumber |
P56921
|
FINISHED |
| Object | iv |
—
|
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: iv | Statement: [UNESCO cultural criteria (iv), criterionNumber, iv]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criterionNumber Context triple: [UNESCO cultural criteria (iv), criterionNumber, iv]
-
A.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
-
B.
notableCriterion
Indicates that something is distinguished or recognized based on a particular standard, measure, or qualifying condition.
-
C.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
D.
ruleNumber
chosen
Indicates that an entity is associated with a specific rule identified by its number within a set of rules.
-
E.
primaryCriterion
Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ea61248190886e8e55b42ba5f1 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.