Triple
T15258828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jebel Jais |
E364717
|
entity |
| Predicate | ziplineLength |
P75639
|
FINISHED |
| Object | about 2.8 km (one of the world’s longest ziplines) |
—
|
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 2.8 km (one of the world’s longest ziplines) | Statement: [Jebel Jais, ziplineLength, about 2.8 km (one of the world’s longest ziplines)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ziplineLength Context triple: [Jebel Jais, ziplineLength, about 2.8 km (one of the world’s longest ziplines)]
-
A.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
B.
circuitLength
Indicates the total measured length or distance of a circuit or closed path.
-
C.
archLength
Indicates the measured length of an arch-shaped structure or path between two defined points.
-
D.
dimensionOfLength
chosen
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
E.
coneLength
Indicates the length measurement of a cone-shaped structure associated with an entity.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084d11148190919eef8e55569bb9 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.