Triple
T21478416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amarnath Yatra route |
E529921
|
entity |
| Predicate | caveAltitude |
P133716
|
FINISHED |
| Object | about 3888 metres |
—
|
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 3888 metres | Statement: [Amarnath Yatra route, caveAltitude, about 3888 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caveAltitude Context triple: [Amarnath Yatra route, caveAltitude, about 3888 metres]
-
A.
caveNumber
Indicates a relationship where an entity is assigned or associated with a specific cave identifier or number.
-
B.
caveType
Indicates the specific classification or kind of cave associated with an entity.
-
C.
hasCaveEntranceDepth
chosen
Indicates the depth or vertical distance of a cave’s entrance relative to a reference level (such as ground surface or sea level).
-
D.
elevationRelativeToCanyonFloor
Indicates the vertical height or altitude of something measured relative to the canyon floor as the reference level.
-
E.
hasApproximateNumberOfCaves
Indicates that an entity is associated with an estimated or non-exact number of caves.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1951fc8190910f634327aa5c3f |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:20 p.m.