Triple
T17128428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Mumbai–Pune Highway |
E415658
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Khopoli |
E722417
|
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: Khopoli | Statement: [Old Mumbai–Pune Highway, passesThrough, Khopoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khopoli Context triple: [Old Mumbai–Pune Highway, passesThrough, Khopoli]
-
A.
Khopoli
chosen
Khopoli is an industrial town in Maharashtra, India, known for its manufacturing units, proximity to the Western Ghats, and location along the Mumbai–Pune route.
-
B.
Lohegaon
Lohegaon is a suburban area of Pune, India, known for its residential neighborhoods and proximity to key transport and defense installations.
-
C.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
D.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
E.
Panshet
Panshet is a scenic reservoir and popular weekend getaway near Pune in Maharashtra, India, known for its dam, water sports, and surrounding hill landscapes.
- 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_6a01482af1288190b7fdc8a84d0edeaf |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.