Triple
T38165173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNESCO World Heritage rock engravings in Val Camonica |
E953123
|
entity |
| Predicate | numberOfEngravingsApprox |
P207624
|
FINISHED |
| Object | over 140000 |
—
|
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 140000 | Statement: [UNESCO World Heritage rock engravings in Val Camonica, numberOfEngravingsApprox, over 140000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEngravingsApprox Context triple: [UNESCO World Heritage rock engravings in Val Camonica, numberOfEngravingsApprox, over 140000]
-
A.
hasEngravingOption
Indicates that an item or service offers the possibility to add a custom engraving.
-
B.
hasEngravableArea
Indicates that an object possesses a surface or region suitable for being engraved.
-
C.
materialTypicallyInscribedOn
Indicates the material that is most commonly used as the surface or medium on which something is inscribed.
-
D.
hasCarvings
Indicates that one entity features or contains carved designs or engravings on its surface, created by another entity or process.
-
E.
isCarvedWith
Indicates that one entity has been shaped, decorated, or formed by carving using another entity as the tool, method, or material.
- F. None of above. chosen
Provenance (4 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:21 p.m.