Triple
T27359583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combatant Glacier |
E685782
|
entity |
| Predicate | nearHighestPeakOf |
P162226
|
FINISHED |
| Object | Coast Mountains |
—
|
NE NERFINISHED |
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: Coast Mountains | Statement: [Combatant Glacier, nearHighestPeakOf, Coast Mountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearHighestPeakOf Context triple: [Combatant Glacier, nearHighestPeakOf, Coast Mountains]
-
A.
prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
-
B.
countryHighestPeak
Indicates that a given peak is the tallest mountain within the specified country.
-
C.
containsHighestPointOf
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
-
D.
hasHighestPeakName
Indicates that the related value is the name of the tallest peak associated with the given entity.
-
E.
elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
- F. None of above. chosen
Provenance (4 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62c21405c81909c486d3b9d9be274 |
completed | May 2, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 11:53 a.m.