Triple
T34188552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shikharji |
E877030
|
entity |
| Predicate | traditionalRouteLength |
P78936
|
FINISHED |
| Object | approximately 27 kilometres |
—
|
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 27 kilometres | Statement: [Shikharji, traditionalRouteLength, approximately 27 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalRouteLength Context triple: [Shikharji, traditionalRouteLength, approximately 27 kilometres]
-
A.
totalRouteLength
Indicates the overall distance or length of an entire route when all its segments are combined.
-
B.
approximateRouteLength
chosen
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
-
C.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
D.
tourLength
Indicates the total duration or distance covered by a tour or route.
-
E.
trailTypeToReach
Indicates the type or kind of trail or path that must be used to reach a particular location or destination.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: May 1, 2026, 1:55 a.m.