Triple
T4644037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kailash |
E101720
|
entity |
| Predicate | pilgrimageRouteLength |
P33049
|
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: [Mount Kailash, pilgrimageRouteLength, about 52 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageRouteLength Context triple: [Mount Kailash, pilgrimageRouteLength, about 52 km]
-
A.
pilgrimageRouteTo
Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
-
B.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
C.
lengthInKm
chosen
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
D.
hikeLength
Indicates the distance or duration associated with a hiking activity or trail.
-
E.
isPilgrimageDestination
Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.