Triple
T12166119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soberanía National Park |
E289836
|
entity |
| Predicate | hasReptileSpecies |
P103109
|
FINISHED |
| Object | iguanas |
—
|
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: iguanas | Statement: [Soberanía National Park, hasReptileSpecies, iguanas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReptileSpecies Context triple: [Soberanía National Park, hasReptileSpecies, iguanas]
-
A.
containsVenomousSpecies
Indicates that the referenced entity includes within it one or more species that are venomous.
-
B.
Reptile HouseStatus
Indicates the operational or condition status of a reptile house facility in relation to its use or availability.
-
C.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
D.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
-
E.
hasNativeSpecies
Indicates that a particular species naturally occurs and evolved in a specified geographic area or habitat, rather than being introduced from elsewhere.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916165c708190bf0745e125589f46 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:50 p.m.