Triple
T15697048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella Point |
E380488
|
entity |
| Predicate | distanceToUhuruPeak |
P97110
|
FINISHED |
| Object | approximately 150 metres vertical ascent remaining |
—
|
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: approximately 150 metres vertical ascent remaining | Statement: [Stella Point, distanceToUhuruPeak, approximately 150 metres vertical ascent remaining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToUhuruPeak Context triple: [Stella Point, distanceToUhuruPeak, approximately 150 metres vertical ascent remaining]
-
A.
distanceToSummit
chosen
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
-
B.
distanceFromMaranguGate
Indicates the spatial distance measured from the Marangu Gate to a given location or entity.
-
C.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
-
D.
relativeToMountEverest
Indicates a relationship that compares or situates something in reference to Mount Everest, such as in terms of location, height, scale, or significance.
-
E.
distanceToAconcaguaSummitApproxKm
Indicates the approximate distance, measured in kilometers, from a given entity to the summit of Aconcagua.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.