Triple
T18781896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kailāsa Parvata |
E459276
|
entity |
| Predicate | circumambulationDistance |
P44364
|
FINISHED |
| Object | about 52 km |
—
|
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 52 km | Statement: [Kailāsa Parvata, circumambulationDistance, about 52 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circumambulationDistance Context triple: [Kailāsa Parvata, circumambulationDistance, about 52 km]
-
A.
tourLength
Indicates the total duration or distance covered by a tour or route.
-
B.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
C.
circuitLength
chosen
Indicates the total measured length or distance of a circuit or closed path.
-
D.
distancePerLeg
Indicates the distance covered in a single leg or segment of a multi-part journey or route.
-
E.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977d7c5c8190ab2aadb47283965d |
completed | April 20, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.