Triple
T19255548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltal |
E481507
|
entity |
| Predicate | distanceFromAmarnathCave |
P135064
|
FINISHED |
| Object | about 14 km by trek |
—
|
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 14 km by trek | Statement: [Baltal, distanceFromAmarnathCave, about 14 km by trek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAmarnathCave Context triple: [Baltal, distanceFromAmarnathCave, about 14 km by trek]
-
A.
distanceFromAlmora
Indicates the measured distance between a given location or entity and the place Almora.
-
B.
distanceFromKullu
Indicates the spatial distance measured from the reference location Kullu to another place or entity.
-
C.
distanceToSrinagar_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Srinagar.
-
D.
distanceFromMussoorie_km
Indicates the distance, measured in kilometers, between a given place and Mussoorie.
-
E.
distanceFromKasol
Indicates the spatial distance measured from the reference location Kasol to another place or entity.
- F. None of above. chosen
Provenance (4 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3572c08190a55f1c71cdb18b42 |
completed | April 20, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:28 p.m.