Triple
T17840798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanca Peak |
E445517
|
entity |
| Predicate | rankingByProminenceInColorado |
P74824
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Blanca Peak, rankingByProminenceInColorado, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByProminenceInColorado Context triple: [Blanca Peak, rankingByProminenceInColorado, 3]
-
A.
rankByPopulationInColorado
Indicates the relative ordering of entities based on their population size within the state of Colorado.
-
B.
stateWithMostFourteeners
Indicates that a state has the highest number of mountains whose summits exceed 14,000 feet in elevation compared to all other states.
-
C.
stateHighPointRank
Indicates the relative ranking position of a location as the highest point within a given state or comparable region.
-
D.
rankByProminence
chosen
Indicates that entities are ordered or assigned a position based on their level of prominence or notability relative to one another.
-
E.
isColoradoFourteener
Indicates that a mountain has a summit elevation of at least 14,000 feet and is located in the state of Colorado.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2b2ea08190926ec0cf01285833 |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:16 a.m.