Triple
T36648611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNESCO World Heritage architecture |
E904777
|
entity |
| Predicate | hasSelectionCriteriaGroup |
P151113
|
FINISHED |
| Object | cultural criteria (i–vi) |
—
|
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: cultural criteria (i–vi) | Statement: [UNESCO World Heritage architecture, hasSelectionCriteriaGroup, cultural criteria (i–vi)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSelectionCriteriaGroup Context triple: [UNESCO World Heritage architecture, hasSelectionCriteriaGroup, cultural criteria (i–vi)]
-
A.
hasMemberCriteria
Indicates that a group, collection, or set is defined or constrained by specific criteria that its members must satisfy.
-
B.
hasAssociatedCriteria
chosen
Indicates that one entity is linked to specific criteria that define, constrain, or qualify it.
-
C.
hasComparisonCriterion
Indicates that one entity is used as the basis or standard by which another entity is compared or evaluated.
-
D.
hasSelectionFor
Indicates that one entity holds or specifies a chosen option, subset, or configuration on behalf of another entity.
-
E.
hasSubcategoryCriterion
Indicates that something is associated with a specific criterion used to define or distinguish one of its subcategories.
- 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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
Created at: May 3, 2026, 4:11 p.m.