Triple
T26344814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNESCO natural criteria |
E662752
|
entity |
| Predicate | hasNumberOfCriteria |
P56046
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [UNESCO natural criteria, hasNumberOfCriteria, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfCriteria Context triple: [UNESCO natural criteria, hasNumberOfCriteria, 4]
-
A.
hasComparisonCriterion
Indicates that one entity is used as the basis or standard by which another entity is compared or evaluated.
-
B.
hasNumberOfConditions
chosen
Indicates that an entity is associated with a specific count of conditions it has or is subject to.
-
C.
hasMemberCriteria
Indicates that a group, collection, or set is defined or constrained by specific criteria that its members must satisfy.
-
D.
hasAssociatedCriteria
Indicates that one entity is linked to specific criteria that define, constrain, or qualify it.
-
E.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 26, 2026, 10:41 p.m.