Triple
T2596136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelback Mountain |
E58234
|
entity |
| Predicate | hasSummitElevation |
P14507
|
FINISHED |
| Object | about 2700 feet |
—
|
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: about 2700 feet | Statement: [Camelback Mountain, hasSummitElevation, about 2700 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummitElevation Context triple: [Camelback Mountain, hasSummitElevation, about 2700 feet]
-
A.
hasSummitFacility
Indicates that one entity possesses or provides a facility or infrastructure located at the summit of another entity (such as a mountain, hill, or peak).
-
B.
summitElevation
chosen
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
C.
hasSummitCoordinates
Indicates that an entity has specific geographic coordinates identifying the location of its summit.
-
D.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
E.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.