Triple
T26997815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mugling |
E680021
|
entity |
| Predicate | distanceFromBharatpur_km |
P135650
|
FINISHED |
| Object | approximately 36 |
—
|
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 36 | Statement: [Mugling, distanceFromBharatpur_km, approximately 36]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBharatpur_km Context triple: [Mugling, distanceFromBharatpur_km, approximately 36]
-
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.
distanceFromChandigarh_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Chandigarh.
-
D.
distanceFromKangra_km
Indicates the physical distance, measured in kilometers, between an entity and the location Kangra.
-
E.
distanceFromBhopal
Indicates the measured spatial distance between a given location or entity and the city of Bhopal.
- 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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
Created at: April 27, 2026, 6:55 a.m.