Triple
T17080226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellingwood Point |
E414450
|
entity |
| Predicate | partOfCountyHighPointArea |
P112251
|
FINISHED |
| Object | Alamosa County high point region |
—
|
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: Alamosa County high point region | Statement: [Ellingwood Point, partOfCountyHighPointArea, Alamosa County high point region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCountyHighPointArea Context triple: [Ellingwood Point, partOfCountyHighPointArea, Alamosa County high point region]
-
A.
highestPointRegion
Indicates that one location is the highest point within a specified region.
-
B.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
-
C.
recognizedAsStateHighPointSince
Indicates that an entity has been officially acknowledged as the highest point of a state starting from a specified date or time.
-
D.
trailHighPointOf
Indicates that one location is the highest elevation point along a specified trail or route.
-
E.
containsHighestPointOf
chosen
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe24a6481908b4596c95220df4a |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.