Triple
T12770734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barsana |
E305240
|
entity |
| Predicate | distanceFromVrindavan |
P106815
|
FINISHED |
| Object | about 50 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 50 kilometres | Statement: [Barsana, distanceFromVrindavan, about 50 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromVrindavan Context triple: [Barsana, distanceFromVrindavan, about 50 kilometres]
-
A.
distanceFromVaranasi
Indicates the measured or specified distance between a given entity or location and the city of Varanasi.
-
B.
distanceToAyodhya
Indicates the measured spatial distance between a given entity’s location and the location of Ayodhya.
-
C.
distanceFromTirupati
Indicates the measured distance between a given location and Tirupati.
-
D.
distanceToDehradun
Indicates the spatial distance between an entity’s location and the city of Dehradun.
-
E.
distanceToValmikiNationalPark
Indicates the measured distance between a given entity and Valmiki National Park.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.