Triple
T16794164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai–Pune railway line |
E408188
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Talegaon |
E1227721
|
NE 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: Talegaon | Statement: [Mumbai–Pune railway line, passesThrough, Talegaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talegaon Context triple: [Mumbai–Pune railway line, passesThrough, Talegaon]
-
A.
Talegaon
chosen
Talegaon is an industrial town in the Pune Metropolitan Region of Maharashtra, India, known for its manufacturing hubs and proximity to Pune city.
-
B.
Ambegaon
Ambegaon is a town in the Pune district of Maharashtra, India, known for its semi-rural setting and proximity to the Western Ghats.
-
C.
Bantva
Bantva is a town in the Indian state of Gujarat, historically known as a trading center and as the birthplace of renowned humanitarian Abdul Sattar Edhi.
-
D.
Balewadi
Balewadi is a suburban locality in Pune, India, known for its rapidly developing residential areas and major sports infrastructure.
-
E.
Khanapur
Khanapur is a town in the Indian state of Karnataka known for its scenic surroundings, forested areas, and proximity to the Western Ghats.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a8b66c8190b83d8af85d2b23a8 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.