Triple
T368360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock-Art Sites of Tadrart Acacus |
E8212
|
entity |
| Predicate | numberOfRockArtSites |
P11694
|
FINISHED |
| Object | thousands |
—
|
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: thousands | Statement: [Rock-Art Sites of Tadrart Acacus, numberOfRockArtSites, thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRockArtSites Context triple: [Rock-Art Sites of Tadrart Acacus, numberOfRockArtSites, thousands]
-
A.
numberOfStelae
Indicates the quantity of stelae associated with a given entity or context.
-
B.
UNESCOWorldHeritageSitesCount
Indicates the number of UNESCO World Heritage Sites associated with a given entity.
-
C.
estimatedNumberOfPaintings
Indicates the approximate count of paintings associated with an entity, rather than an exact, verified number.
-
D.
UNESCOSiteType
Indicates the classification of a UNESCO World Heritage Site according to its type (e.g., cultural, natural, or mixed).
-
E.
UNESCOWorldHeritageSiteContains
Indicates that a designated UNESCO World Heritage Site geographically includes or encompasses another place, feature, or entity within its boundaries.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebeab13c8190b15c2f10310ec6a8 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95ede588190998fdf3a6ea90498 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0b23ec8190bef9d593162388a4 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.