Triple
T20170861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Energy Capital of India |
E491953
|
entity |
| Predicate | appliedTo |
P1129
|
FINISHED |
| Object | Singrauli industrial region |
—
|
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: Singrauli industrial region | Statement: [Energy Capital of India, appliedTo, Singrauli industrial region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singrauli industrial region Context triple: [Energy Capital of India, appliedTo, Singrauli industrial region]
-
A.
Rourkela industrial region
Rourkela industrial region is a major steel and engineering hub in eastern India, centered around the Rourkela Steel Plant and associated heavy industries.
-
B.
Majha–Doaba industrial belt
The Majha–Doaba industrial belt is a key manufacturing and commercial corridor in Punjab, India, encompassing cities like Jalandhar and known for its diverse small- and medium-scale industries.
-
C.
Baddi-Barotiwala-Nalagarh industrial belt
The Baddi-Barotiwala-Nalagarh industrial belt is a major manufacturing hub in Himachal Pradesh, India, known especially for its large concentration of pharmaceutical and consumer goods industries.
-
D.
Delhi–Mumbai Industrial Corridor region
The Delhi–Mumbai Industrial Corridor region is a major planned industrial and infrastructure development zone spanning several Indian states between Delhi and Mumbai, aimed at boosting manufacturing, logistics, and urban growth.
-
E.
Satpura region
The Satpura region is a hilly, forested plateau area in central India known for its rich biodiversity, tribal communities, and the Satpura Range that runs through states like Madhya Pradesh and Maharashtra.
- 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: Singrauli industrial region Target entity description: Singrauli industrial region is a major coal mining and power generation hub in central India, known for its dense concentration of thermal power plants and associated heavy industries.
-
A.
Rourkela industrial region
Rourkela industrial region is a major steel and engineering hub in eastern India, centered around the Rourkela Steel Plant and associated heavy industries.
-
B.
Majha–Doaba industrial belt
The Majha–Doaba industrial belt is a key manufacturing and commercial corridor in Punjab, India, encompassing cities like Jalandhar and known for its diverse small- and medium-scale industries.
-
C.
Baddi-Barotiwala-Nalagarh industrial belt
The Baddi-Barotiwala-Nalagarh industrial belt is a major manufacturing hub in Himachal Pradesh, India, known especially for its large concentration of pharmaceutical and consumer goods industries.
-
D.
Delhi–Mumbai Industrial Corridor region
The Delhi–Mumbai Industrial Corridor region is a major planned industrial and infrastructure development zone spanning several Indian states between Delhi and Mumbai, aimed at boosting manufacturing, logistics, and urban growth.
-
E.
Satpura region
The Satpura region is a hilly, forested plateau area in central India known for its rich biodiversity, tribal communities, and the Satpura Range that runs through states like Madhya Pradesh and Maharashtra.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66847ed9481908e6b23b399fa7005 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.