Triple
T34072432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadrart Acacus |
E873808
|
entity |
| Predicate | UNESCOStateOfConservationIssues |
P11695
|
FINISHED |
| Object | damage to rock art |
—
|
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: damage to rock art | Statement: [Tadrart Acacus, UNESCOStateOfConservationIssues, damage to rock art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNESCOStateOfConservationIssues Context triple: [Tadrart Acacus, UNESCOStateOfConservationIssues, damage to rock art]
-
A.
UNESCOStateOfConservation
chosen
Indicates that an entity documents or assesses the conservation status of a site as recognized by UNESCO.
-
B.
UNESCOListStatus
Indicates that an entity has a specific recognition or classification status in relation to an official UNESCO list.
-
C.
UNESCOdangerListInscriptionYear
Indicates the year in which a site was inscribed on UNESCO’s List of World Heritage in Danger.
-
D.
UNESCOEndangermentCategory
Indicates the level of endangerment assigned to a language according to UNESCO’s classification system.
-
E.
UNESCORecognitionRelatedTo
Indicates a relationship where one entity’s recognition, designation, or status is formally granted or associated by UNESCO to another entity.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:52 a.m.