Triple
T21803220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Andean dry puna ecoregion |
E538286
|
entity |
| Predicate | characteristicFauna |
P91594
|
FINISHED |
| Object | vicuña |
—
|
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: vicuña | Statement: [Central Andean dry puna ecoregion, characteristicFauna, vicuña]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicFauna Context triple: [Central Andean dry puna ecoregion, characteristicFauna, vicuña]
-
A.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
B.
faunaDiversity
Indicates the variety and richness of animal species present within a given area or ecosystem.
-
C.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
D.
notableFaunaRegion
chosen
Indicates that a region is known for or characteristically associated with particular notable animal species.
-
E.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.