Triple
T3696458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umbwe Route |
E78470
|
entity |
| Predicate | startingElevationMeters |
P45909
|
FINISHED |
| Object | about 1800 |
—
|
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 1800 | Statement: [Umbwe Route, startingElevationMeters, about 1800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startingElevationMeters Context triple: [Umbwe Route, startingElevationMeters, about 1800]
-
A.
elevationAtBase
Indicates the height or altitude measured at the base or lowest point of an object or feature relative to a reference level.
-
B.
elevationApproxMeters
chosen
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
C.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
D.
elevationMinM
Indicates the minimum elevation, measured in meters, at which an entity or phenomenon occurs or is situated.
-
E.
typicalAscentStartPoint
Indicates the usual or most common location from which an ascent or climb is begun.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc50f9ad88190a926042fa73d65dc |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.