Triple
T13216413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barmer |
E314627
|
entity |
| Predicate | distanceToJodhpur |
P108565
|
FINISHED |
| Object | approximately 200 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 200 km | Statement: [Barmer, distanceToJodhpur, approximately 200 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToJodhpur Context triple: [Barmer, distanceToJodhpur, approximately 200 km]
-
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.
distanceFromUdaipur
Indicates the spatial distance between a given location or entity and the city of Udaipur.
-
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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:18 p.m.