Triple
T7866701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladakh Range |
E182633
|
entity |
| Predicate | highestPassApproxElevation |
P79445
|
FINISHED |
| Object | about 5350 metres |
—
|
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: about 5350 metres | Statement: [Ladakh Range, highestPassApproxElevation, about 5350 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPassApproxElevation Context triple: [Ladakh Range, highestPassApproxElevation, about 5350 metres]
-
A.
highestElevationApprox
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
D.
highestRoadPassIn
Indicates that a location contains the highest-elevation road pass within a specified area or region.
-
E.
elevationAboveValley
Indicates the vertical height or altitude of an entity measured relative to the lowest point of the surrounding valley.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb38464274819080f182b53783fa84 |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:54 p.m.