Triple
T14452399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adani Group |
E358367
|
entity |
| Predicate | listedUnit |
P114335
|
FINISHED |
| Object | Adani Wilmar |
E1101442
|
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: Adani Wilmar | Statement: [Adani Group, listedUnit, Adani Wilmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adani Wilmar Context triple: [Adani Group, listedUnit, Adani Wilmar]
-
A.
Adani Wilmar
chosen
Adani Wilmar is an Indian fast-moving consumer goods company best known for its edible oils and food products sold under brands like Fortune.
-
B.
Adani Enterprises
Adani Enterprises is the flagship publicly listed company of the Adani Group, engaged in diverse businesses including energy, infrastructure, and mining in India and abroad.
-
C.
Adani Group
Adani Group is a major Indian multinational conglomerate with diversified interests in ports, logistics, energy, and infrastructure.
-
D.
Godrej Agrovet Limited
Godrej Agrovet Limited is an Indian agribusiness company engaged in animal feed, crop protection, dairy, and related agricultural products and services.
-
E.
Wadia Group
Wadia Group is one of India’s oldest conglomerates, with diversified interests spanning textiles, aviation, real estate, food, and chemicals.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de916244948190bb09d1bfc485ba50 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d86dbc0819085fef8fa8b45b373 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:19 a.m.