Triple
T17307791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkee, British India |
E420208
|
entity |
| Predicate | distanceFromPoona |
P101083
|
FINISHED |
| Object | approximately 5 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: approximately 5 kilometers | Statement: [Kirkee, British India, distanceFromPoona, approximately 5 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPoona Context triple: [Kirkee, British India, distanceFromPoona, approximately 5 kilometers]
-
A.
distanceFromPune
chosen
Indicates the spatial distance between a given location or entity and the city of Pune.
-
B.
distanceFromMumbaiApproxKm
Indicates the approximate physical distance, measured in kilometers, between a given location and Mumbai.
-
C.
distanceFromNashik
Indicates the spatial distance between a given entity or location and the city of Nashik.
-
D.
distanceToPandharpur
Indicates the measured or estimated spatial distance between a given location and the place Pandharpur.
-
E.
distanceToAhmedabad
Indicates the spatial distance between a given location or entity and the city of Ahmedabad.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4390005dc81908345ebb6dd970582 |
completed | April 19, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.