Triple
T4198508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godrej family |
E86009
|
entity |
| Predicate | businessInterest |
P3849
|
FINISHED |
| Object | Godrej Group |
E86009
|
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: Godrej Group | Statement: [Godrej family, businessInterest, Godrej Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Godrej Group Context triple: [Godrej family, businessInterest, Godrej Group]
-
A.
Tata Group
Tata Group is a major Indian multinational conglomerate with diverse businesses spanning sectors such as steel, automobiles, information technology, telecommunications, and hospitality.
-
B.
Godrej family
chosen
The Godrej family is a prominent Indian Parsi business dynasty best known for founding and controlling the diversified Godrej Group conglomerate.
-
C.
Adani Group
Adani Group is a major Indian multinational conglomerate with diversified interests in ports, logistics, energy, and infrastructure.
-
D.
Reliance Industries Limited
Reliance Industries Limited is a major Indian multinational conglomerate with leading businesses in energy, petrochemicals, retail, and telecommunications.
-
E.
Tata Trusts
Tata Trusts is one of India’s oldest and largest philanthropic organizations, funding wide-ranging initiatives in areas such as education, healthcare, rural development, and social innovation.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af036243b4819097efe6b796823cd9 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a12c11481908033229ecf90c9f9 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:48 p.m.