Triple
T20494882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karauli |
E502843
|
entity |
| Predicate | distanceToBharatpur |
P135650
|
FINISHED |
| Object | approximately 110 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: approximately 110 km | Statement: [Karauli, distanceToBharatpur, approximately 110 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBharatpur Context triple: [Karauli, distanceToBharatpur, approximately 110 km]
-
A.
distanceFromBharatpur
chosen
Indicates the spatial distance measured from the reference location Bharatpur to another place or entity.
-
B.
distanceFromBurhanpur
Indicates the measured distance between a given place or object and the location of Burhanpur.
-
C.
distanceFromPatna
Indicates the spatial distance between a given location and the city of Patna.
-
D.
distanceToJodhpur
Indicates the spatial distance between a given entity or location and the city of Jodhpur.
-
E.
distanceToPandharpur
Indicates the measured or estimated spatial distance between a given location and the place Pandharpur.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbd2dfc81908204f7bfa8a763b6 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.