Triple
T16685777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pimpri-Chinchwad |
E405457
|
entity |
| Predicate | hasIndustrialArea |
P40
|
FINISHED |
| Object | Bhosari MIDC |
E1223192
|
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: Bhosari MIDC | Statement: [Pimpri-Chinchwad, hasIndustrialArea, Bhosari MIDC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhosari MIDC Context triple: [Pimpri-Chinchwad, hasIndustrialArea, Bhosari MIDC]
-
A.
Turbhe MIDC
Turbhe MIDC is a major industrial estate in Navi Mumbai that hosts a wide range of manufacturing, warehousing, and commercial units.
-
B.
Bhosari
chosen
Bhosari is a prominent industrial suburb in the Pune Metropolitan Region known for its manufacturing hubs and industrial estates.
-
C.
Rabale MIDC
Rabale MIDC is a major industrial estate in Navi Mumbai, Maharashtra, known for its concentration of manufacturing units and small to medium-scale industries.
-
D.
Hiranandani Business Park
Hiranandani Business Park is a major corporate and IT hub in Mumbai’s Powai area, known for its modern office complexes and integrated business infrastructure.
-
E.
Bhayandar East
Bhayandar East is a suburban locality in the Mira-Bhayandar region of Maharashtra, India, known for its residential neighborhoods and growing urban infrastructure.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.