Triple
T12022172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathdwara |
E286178
|
entity |
| Predicate | distanceFromUdaipur |
P102828
|
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: [Nathdwara, distanceFromUdaipur, about 45 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromUdaipur Context triple: [Nathdwara, distanceFromUdaipur, about 45 kilometres]
-
A.
distanceFromJaipur
Indicates the spatial distance between a given entity and the location Jaipur.
-
B.
distanceFromJabalpur
Indicates the spatial distance measured from the reference location Jabalpur to another place or entity.
-
C.
distanceFromJaisalmer
Indicates the measured spatial distance between a given entity and the location of Jaisalmer.
-
D.
distanceToAhmedabad
Indicates the spatial distance between a given location or entity and the city of Ahmedabad.
-
E.
distanceFromAjmer
Indicates the spatial distance measured from the reference location Ajmer to another place or entity.
- F. None of above. chosen
Provenance (4 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.