Triple
T4685137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pushkar |
E103902
|
entity |
| Predicate | distanceFromAjmer |
P59008
|
FINISHED |
| Object | about 14 kilometers |
—
|
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 14 kilometers | Statement: [Pushkar, distanceFromAjmer, about 14 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAjmer Context triple: [Pushkar, distanceFromAjmer, about 14 kilometers]
-
A.
distanceFromJaipur
Indicates the spatial distance between a given entity and the location Jaipur.
-
B.
distanceFromJaisalmer
Indicates the measured spatial distance between a given entity and the location of Jaisalmer.
-
C.
distanceToAmritsarApproxKm
Indicates an approximate physical distance, measured in kilometers, between a given entity’s location and the city of Amritsar.
-
D.
distanceToAhmedabad
Indicates the spatial distance between a given location or entity and the city of Ahmedabad.
-
E.
distanceToJammu
Indicates the spatial distance between a given entity or location and the place Jammu.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:16 p.m.