Triple
T19815035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosur |
E476037
|
entity |
| Predicate | industrialArea |
P68164
|
FINISHED |
| Object | SIPCOT Industrial Complex, Hosur |
—
|
NE NERFINISHED |
How this triple was built (3 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: SIPCOT Industrial Complex, Hosur | Statement: [Hosur, industrialArea, SIPCOT Industrial Complex, Hosur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIPCOT Industrial Complex, Hosur Context triple: [Hosur, industrialArea, SIPCOT Industrial Complex, Hosur]
-
A.
Yelahanka Industrial Area
Yelahanka Industrial Area is a major industrial hub in the northern part of Bengaluru, Karnataka, hosting a mix of manufacturing units, warehouses, and ancillary industries.
-
B.
Coimbatore SEZ
Coimbatore SEZ is a designated special economic zone in Coimbatore focused on promoting export-oriented industrial and IT/ITES development through tax and regulatory incentives.
-
C.
Peenya industrial area
Peenya Industrial Area is one of the largest and oldest industrial hubs in Bengaluru, India, known for its dense concentration of manufacturing and small- to medium-scale industries.
-
D.
Tuticorin Industrial Complex
Tuticorin Industrial Complex is a major industrial hub in Thoothukudi, Tamil Nadu, known for its heavy industries, port-based activities, and manufacturing facilities.
-
E.
IIT Madras Research Park
IIT Madras Research Park is a pioneering innovation hub in Chennai that fosters collaboration between industry and academia, supporting startups, R&D, and technology commercialization.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SIPCOT Industrial Complex, Hosur Target entity description: SIPCOT Industrial Complex, Hosur is a major government-developed industrial estate in Tamil Nadu that hosts numerous manufacturing and automotive companies.
-
A.
Yelahanka Industrial Area
Yelahanka Industrial Area is a major industrial hub in the northern part of Bengaluru, Karnataka, hosting a mix of manufacturing units, warehouses, and ancillary industries.
-
B.
Coimbatore SEZ
Coimbatore SEZ is a designated special economic zone in Coimbatore focused on promoting export-oriented industrial and IT/ITES development through tax and regulatory incentives.
-
C.
Peenya industrial area
Peenya Industrial Area is one of the largest and oldest industrial hubs in Bengaluru, India, known for its dense concentration of manufacturing and small- to medium-scale industries.
-
D.
Tuticorin Industrial Complex
Tuticorin Industrial Complex is a major industrial hub in Thoothukudi, Tamil Nadu, known for its heavy industries, port-based activities, and manufacturing facilities.
-
E.
IIT Madras Research Park
IIT Madras Research Park is a pioneering innovation hub in Chennai that fosters collaboration between industry and academia, supporting startups, R&D, and technology commercialization.
- F. None of above. chosen
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f861248190a633dd8d227d9697 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.