Triple
T12443474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Luis Peak |
E297334
|
entity |
| Predicate | hasCountyHighPointStatus |
P103474
|
FINISHED |
| Object | Saguache County high point |
—
|
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: Saguache County high point | Statement: [San Luis Peak, hasCountyHighPointStatus, Saguache County high point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountyHighPointStatus Context triple: [San Luis Peak, hasCountyHighPointStatus, Saguache County high point]
-
A.
hasCountyTopStatus
chosen
Indicates that an entity holds the highest or most prominent status within a specific county.
-
B.
recognizedAsStateHighPointSince
Indicates that an entity has been officially acknowledged as the highest point of a state starting from a specified date or time.
-
C.
hasHighestPointType
Indicates that the highest point of an entity is of a specified type or category.
-
D.
hasHighPointStatus
Indicates that an entity holds a high or elevated status within a point-based or ranking system.
-
E.
hasCountyEquivalentStatus
Indicates that an entity holds an administrative or legal status equivalent to that of a county within a given jurisdiction.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.