Triple
T35112124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gannett Peak |
E1013319
|
entity |
| Predicate | elevationRankInWyoming |
P39147
|
FINISHED |
| Object | highest mountain in Wyoming |
—
|
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: highest mountain in Wyoming | Statement: [Gannett Peak, elevationRankInWyoming, highest mountain in Wyoming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRankInWyoming Context triple: [Gannett Peak, elevationRankInWyoming, highest mountain in Wyoming]
-
A.
summitElevationRank
chosen
Indicates the relative position of a summit in an ordered list based on its elevation compared to other summits.
-
B.
stateHighPointRank
Indicates the relative ranking position of a location as the highest point within a given state or comparable region.
-
C.
hasElevationRank
Indicates the relative ordering of an entity based on its elevation compared to others.
-
D.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
E.
eastSummitElevation
Indicates the elevation of the summit located on the eastern side of a geographic feature or area.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:01 p.m.