Triple
T27014925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNESCO World Heritage Site |
E680498
|
entity |
| Predicate | selectionCriteriaCount |
P24477
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [UNESCO World Heritage Site, selectionCriteriaCount, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionCriteriaCount Context triple: [UNESCO World Heritage Site, selectionCriteriaCount, 10]
-
A.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
B.
valueCriterion
Indicates that something is evaluated or selected based on a specified standard, rule, or measure of value.
-
C.
typicalNumberOfSelections
chosen
Indicates the usual or expected count of selections made in a given choice or selection process.
-
D.
listingCriterion
Indicates the rule or standard used to determine how items are selected, ordered, or displayed in a listing.
-
E.
hasComparisonCriterion
Indicates that one entity is used as the basis or standard by which another entity is compared or evaluated.
- 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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 7:05 a.m.