Triple
T14712679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTMB |
E345589
|
entity |
| Predicate | startElevationCategory |
P35392
|
FINISHED |
| Object | mountain town |
—
|
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: mountain town | Statement: [UTMB, startElevationCategory, mountain town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startElevationCategory Context triple: [UTMB, startElevationCategory, mountain town]
-
A.
typicalStartElevation
Indicates the usual or characteristic elevation at which something (such as a route, feature, or activity) typically begins.
-
B.
elevationThreshold
Indicates a specified elevation level at which a condition, effect, or change in state becomes applicable or is triggered.
-
C.
elevationType
Indicates the kind or classification of elevation associated with an entity, such as how its height or altitude is characterized.
-
D.
elevationChange
Indicates a change in vertical position or altitude between two points or states.
-
E.
altitudeCategory
chosen
Indicates the classification of something based on its height or elevation relative to a reference level (e.g., low, medium, high altitude).
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.