Triple
T38204824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Arrowhead (Pioneer Mountains) |
E1009168
|
entity |
| Predicate | isSharplyPointed |
P84550
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Arrowhead (Pioneer Mountains), isSharplyPointed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSharplyPointed Context triple: [The Arrowhead (Pioneer Mountains), isSharplyPointed, true]
-
A.
hasSharperPeakThan
Indicates that one entity’s peak (e.g., in a graph, distribution, or signal) is more pointed or narrow than the peak of another entity.
-
B.
sharpeningType
Indicates the method or style by which something is sharpened or made sharper.
-
C.
sharpnessCondition
chosen
Indicates the condition or degree of sharpness that something possesses or is required to have.
-
D.
hasDistinctiveShape
Indicates that an entity possesses a shape or form that is notably different from others and can be easily recognized or distinguished.
-
E.
hasSerrations
Indicates that one entity possesses serrated or saw-like edges, surfaces, or features.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.