Triple
T15082023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kempty Falls |
E360169
|
entity |
| Predicate | distanceFromDehradun |
P90189
|
FINISHED |
| Object | about 45 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: about 45 kilometres | Statement: [Kempty Falls, distanceFromDehradun, about 45 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDehradun Context triple: [Kempty Falls, distanceFromDehradun, about 45 kilometres]
-
A.
distanceToDehradun
chosen
Indicates the spatial distance between an entity’s location and the city of Dehradun.
-
B.
distanceFromMussoorie_km
Indicates the distance, measured in kilometers, between a given place and Mussoorie.
-
C.
distanceToSrinagar_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Srinagar.
-
D.
distanceFromShimla_km
Indicates the physical distance, measured in kilometers, between a given place and Shimla.
-
E.
distanceFromRishikesh_km
Indicates the physical distance, measured in kilometers, between a given place and Rishikesh.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:03 a.m.