Triple
T1411094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wipro Limited |
E31805
|
entity |
| Predicate | shortName |
P43
|
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: [Wipro Limited, shortName, Wipro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wipro Context triple: [Wipro Limited, shortName, 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.
Wipro GE Healthcare
Wipro GE Healthcare is a joint venture between Wipro Limited and GE Healthcare that develops and provides medical imaging, diagnostics, and healthcare technology solutions, primarily serving the Indian and emerging markets.
-
E.
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.
- 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_69ad0e67dbf88190a2a15baca5b9e79d |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 7:59 p.m.