Triple
T17128429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Mumbai–Pune Highway |
E415658
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Talegaon Dabhade |
E973222
|
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 Dabhade | Statement: [Old Mumbai–Pune Highway, passesThrough, Talegaon Dabhade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talegaon Dabhade Context triple: [Old Mumbai–Pune Highway, passesThrough, Talegaon Dabhade]
-
A.
Talegaon Dabhade
chosen
Talegaon Dabhade is a rapidly developing town in Maharashtra, India, known for its industrial growth and proximity to Pune and Mumbai.
-
B.
Talegaon
Talegaon is an industrial town in the Pune Metropolitan Region of Maharashtra, India, known for its manufacturing hubs and proximity to Pune city.
-
C.
Khapoli
Khapoli is a town in Maharashtra, India, that serves as a suburban railway terminus on Mumbai’s Central Line and a gateway to nearby industrial areas and hill-station destinations.
-
D.
Sankhali
Sankhali is a village located in the North Goa district of the Indian state of Goa.
-
E.
Banshiwala
Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0285a408190ae5e4c4679c07fbf |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414a51d4819086c2346fe2d4fce4 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.