Triple
T4498444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grotte de l’Aven Armand |
E100755
|
entity |
| Predicate | hasVeryTallStalagmites |
P54726
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Grotte de l’Aven Armand, hasVeryTallStalagmites, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVeryTallStalagmites Context triple: [Grotte de l’Aven Armand, hasVeryTallStalagmites, yes]
-
A.
hasSpeleothems
chosen
Indicates that a cave or subterranean space contains speleothems (mineral formations such as stalactites, stalagmites, or similar deposits).
-
B.
hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
C.
cavesUsedFor
Indicates that certain caves are utilized for a particular purpose, activity, or function by an entity.
-
D.
hasCrevasses
Indicates that the subject contains or is characterized by deep open cracks or fissures, typically in a surface such as ice or rock.
-
E.
hasLandmarkAtEntrance
Indicates that a specific landmark is located at or directly adjacent to the entrance of something.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c065e88190934eb0b1632d79bb |
completed | March 20, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69bd521671688190bc655d25fa77eba2 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1 p.m.