Triple
T9695943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle de los Cirios Flora and Fauna Protection Area |
E234649
|
entity |
| Predicate | containsFauna |
P57706
|
FINISHED |
| Object | desert bighorn sheep |
—
|
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: desert bighorn sheep | Statement: [Valle de los Cirios Flora and Fauna Protection Area, containsFauna, desert bighorn sheep]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFauna Context triple: [Valle de los Cirios Flora and Fauna Protection Area, containsFauna, desert bighorn sheep]
-
A.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
B.
containsWildSpecies
chosen
Indicates that one entity includes, houses, or encompasses wild (non-domesticated) species within its scope or boundaries.
-
C.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
D.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
E.
hasWildlifeSite
Indicates that a location or entity possesses, contains, or is designated as a wildlife site.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d366c488190bc153c68fef197c2 |
completed | April 1, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b9e93c8190947cce56a3925364 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.