Triple
T12349340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Scott |
E294441
|
entity |
| Predicate | wildlifeArea |
P92447
|
FINISHED |
| Object | habitat for typical Wichita Mountains fauna |
—
|
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: habitat for typical Wichita Mountains fauna | Statement: [Mount Scott, wildlifeArea, habitat for typical Wichita Mountains fauna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeArea Context triple: [Mount Scott, wildlifeArea, habitat for typical Wichita Mountains fauna]
-
A.
associatedWithWildlifeArea
Indicates that an entity has a connection, involvement, or linkage with a designated wildlife area.
-
B.
notableFaunaRegion
Indicates that a region is known for or characteristically associated with particular notable animal species.
-
C.
hasWildlifeHabitats
chosen
Indicates that an entity contains or supports natural environments where wildlife species live, feed, or reproduce.
-
D.
wildlifeStatus
Indicates the conservation or protection status assigned to wildlife, such as whether a species is endangered, threatened, or of least concern.
-
E.
hasNearbyWildlifeRefuge
Indicates that something is located close to or in the vicinity of a designated wildlife refuge.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.