Triple
T1410984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premji |
E31802
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Wipro |
E31804
|
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: Wipro | Statement: [Premji, associatedWith, Wipro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wipro Context triple: [Premji, associatedWith, Wipro]
-
A.
Wipro Limited
chosen
Wipro Limited is a major Indian multinational information technology, consulting, and business process services company headquartered in Bengaluru.
-
B.
Infosys
Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
-
C.
Capgemini
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
-
D.
Indra Sistemas
Indra Sistemas is a Spanish multinational technology and defense company specializing in information technology, simulation, and advanced electronic systems for civil and military applications.
-
E.
Reliance Industries Limited
Reliance Industries Limited is a major Indian multinational conglomerate with leading businesses in energy, petrochemicals, retail, and telecommunications.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e1da988190bc7c187e193539b6 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace57be14881908d469d2b5333d6d5 |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.