Triple
T1044488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de las Cruces |
E22544
|
entity |
| Predicate | hasProtectedAreas |
P855
|
FINISHED |
| Object | local conservation areas |
—
|
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: local conservation areas | Statement: [Sierra de las Cruces, hasProtectedAreas, local conservation areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectedAreas Context triple: [Sierra de las Cruces, hasProtectedAreas, local conservation areas]
-
A.
hasProtectedArea
chosen
Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
-
B.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
-
C.
hasMajorSanctuary
Indicates that an entity possesses or is associated with a primary or principal sanctuary location.
-
D.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
E.
protectedAreaEstablished
Indicates that a designated protected area has been formally created or brought into legal existence.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84937688190a5899af2104002df |
completed | March 1, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.