Triple
T13484937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamshedpur |
E318470
|
entity |
| Predicate | majorCompany |
P597
|
FINISHED |
| Object | Tata Power |
E426971
|
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: Tata Power | Statement: [Jamshedpur, majorCompany, Tata Power]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tata Power Context triple: [Jamshedpur, majorCompany, Tata Power]
-
A.
Tata Power
chosen
Tata Power is one of India’s largest integrated power companies, involved in generation, transmission, distribution, and renewable energy projects across the country and abroad.
-
B.
Reliance Power
Reliance Power is an Indian power generation company, part of the Reliance Group, that develops and operates large-scale thermal and renewable energy projects across the country.
-
C.
L&T Power
L&T Power is a business division of Larsen & Toubro that focuses on providing engineering, procurement, and construction solutions for power generation projects.
-
D.
Tata Sons
Tata Sons is the principal holding company and promoter of the Tata Group, one of India’s largest and oldest multinational conglomerates.
-
E.
Tata Group
Tata Group is a major Indian multinational conglomerate with diverse businesses spanning sectors such as steel, automobiles, information technology, telecommunications, and hospitality.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.