Triple
T5504116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de los Órganos |
E144396
|
entity |
| Predicate | hasKarstFeature |
P1094
|
FINISHED |
| Object | sinkholes |
—
|
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: sinkholes | Statement: [Sierra de los Órganos, hasKarstFeature, sinkholes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKarstFeature Context triple: [Sierra de los Órganos, hasKarstFeature, sinkholes]
-
A.
hasSpeleothems
Indicates that a cave or subterranean space contains speleothems (mineral formations such as stalactites, stalagmites, or similar deposits).
-
B.
hasStratigraphicFeature
Indicates a relationship in which a geological unit, site, or context contains, exhibits, or is associated with a particular stratigraphic feature (such as a layer, horizon, or boundary) within its stratigraphic sequence.
-
C.
hasNaturalFeature
chosen
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
D.
hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
E.
hasGeyser
Indicates that one entity possesses, contains, or features a geyser as part of its characteristics or composition.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0d21848190ae8c41561eca6342 |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:32 p.m.