Triple
T21886894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pajaka |
E540427
|
entity |
| Predicate | distanceFromUdupi |
P145290
|
FINISHED |
| Object | approximately 10–15 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: approximately 10–15 kilometres | Statement: [Pajaka, distanceFromUdupi, approximately 10–15 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromUdupi Context triple: [Pajaka, distanceFromUdupi, approximately 10–15 kilometres]
-
A.
distanceFromUdupi_km
chosen
Indicates the distance, measured in kilometers, between a given place and Udupi.
-
B.
distanceFromMangaluru_km
Indicates the distance, measured in kilometers, between a given place and Mangaluru.
-
C.
distanceFromBengaluru
Indicates the measured spatial distance between a given entity’s location and the city of Bengaluru.
-
D.
distanceFromUdaipur
Indicates the spatial distance between a given location or entity and the city of Udaipur.
-
E.
distanceToKanyakumari
Indicates the spatial distance between a given location and Kanyakumari.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ed35948190bbffba2c40029eee |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:05 p.m.