Triple
T12743933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chauvet-Pont-d’Arc Cave |
E304554
|
entity |
| Predicate | hasEntranceElevation |
P106679
|
FINISHED |
| Object | approximately 185 meters above sea level |
—
|
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: approximately 185 meters above sea level | Statement: [Chauvet-Pont-d’Arc Cave, hasEntranceElevation, approximately 185 meters above sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEntranceElevation Context triple: [Chauvet-Pont-d’Arc Cave, hasEntranceElevation, approximately 185 meters above sea level]
-
A.
entranceHeight
Indicates the vertical measurement of how tall an entrance is.
-
B.
hasEntranceStructure
Indicates that one entity possesses or is associated with a specific physical structure that serves as its entrance.
-
C.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
D.
hasElevatorConnection
Indicates that there is a direct elevator-based connection or access route between two locations or entities.
-
E.
hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.