Triple
T23389803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cueva de las Manos |
E593981
|
entity |
| Predicate | hasApproximateNumberOfHandStencils |
P68470
|
FINISHED |
| Object | over 800 |
—
|
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: over 800 | Statement: [Cueva de las Manos, hasApproximateNumberOfHandStencils, over 800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfHandStencils Context triple: [Cueva de las Manos, hasApproximateNumberOfHandStencils, over 800]
-
A.
hasNumberOfHands
Indicates the specific count of hands that an entity possesses.
-
B.
hasStrokeCountApprox
Indicates an approximate number of strokes associated with writing or drawing the related entity.
-
C.
hasApproximateNumberOfMiniatures
Indicates that an entity is associated with an estimated or non-exact count of miniatures.
-
D.
hasApproximateNumberOfPictographs
chosen
Indicates that an entity is associated with a quantity of pictographs that is not exact but estimated or approximate.
-
E.
hasStrokeCount
Indicates the number of strokes required to write a given symbol or character.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:35 p.m.