Triple
T3094059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infosys |
E64550
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Infosys Limited |
E64550
|
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: Infosys Limited | Statement: [Infosys, brand, Infosys Limited]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Infosys Limited Context triple: [Infosys, brand, Infosys Limited]
-
A.
Infosys
chosen
Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
-
B.
Wipro Limited
Wipro Limited is a major Indian multinational information technology, consulting, and business process services company headquartered in Bengaluru.
-
C.
HCL Technologies
HCL Technologies is a global Indian IT services and consulting company known for providing software development, infrastructure management, and digital transformation solutions to enterprises worldwide.
-
D.
IBM India
IBM India is the Indian subsidiary of International Business Machines Corporation, providing a wide range of IT services, consulting, and technology solutions across the country.
-
E.
Larsen & Toubro
Larsen & Toubro is a major Indian multinational conglomerate known for its leadership in engineering, construction, manufacturing, and technology services.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23876a4819095bfc28640d8c200 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224bff19c8190b28c07e3fb018853 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:03 p.m.