Triple
T12616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Whitney |
E254
|
entity |
| Predicate | topographicIsolation |
P1318
|
FINISHED |
| Object | 1883 km |
—
|
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: 1883 km | Statement: [Mount Whitney, topographicIsolation, 1883 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topographicIsolation Context triple: [Mount Whitney, topographicIsolation, 1883 km]
-
A.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
GNISFeatureID
Indicates that an entity is associated with a specific identifier assigned by the U.S. Geological Survey’s Geographic Names Information System (GNIS) to uniquely reference a geographic feature.
-
D.
continent
Indicates that one entity is a continent on which the other entity is geographically located or to which it belongs.
-
E.
GNISID
Indicates that an entity is associated with a specific identifier from the U.S. Geographic Names Information System (GNIS), uniquely linking it to an official geographic feature record.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a243abb2ec8190937365e5ecec52ad |
completed | Feb. 28, 2026, 1:23 a.m. |
| PD | Predicate disambiguation | batch_69a23fe9470c8190918a6ca1df168646 |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a243aa85848190813154e8a6495200 |
completed | Feb. 28, 2026, 1:23 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.