Triple
T35467089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaisamand Wildlife Sanctuary |
E1025104
|
entity |
| Predicate | distanceFromUdaipur_km |
P102828
|
FINISHED |
| Object | about 50 |
—
|
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 50 | Statement: [Jaisamand Wildlife Sanctuary, distanceFromUdaipur_km, about 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromUdaipur_km Context triple: [Jaisamand Wildlife Sanctuary, distanceFromUdaipur_km, about 50]
-
A.
distanceFromUdaipur
chosen
Indicates the spatial distance between a given location or entity and the city of Udaipur.
-
B.
distanceFromJaipur
Indicates the spatial distance between a given entity and the location Jaipur.
-
C.
distanceToJodhpur
Indicates the spatial distance between a given entity or location and the city of Jodhpur.
-
D.
distanceFromChandigarh_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Chandigarh.
-
E.
distanceFromJabalpur
Indicates the spatial distance measured from the reference location Jabalpur to another place or entity.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.