Triple
T15843031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijay Mallya |
E384143
|
entity |
| Predicate | leaderOf |
P307
|
FINISHED |
| Object | UB Group |
E1180651
|
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: UB Group | Statement: [Vijay Mallya, leaderOf, UB Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UB Group Context triple: [Vijay Mallya, leaderOf, UB Group]
-
A.
UB Group
chosen
UB Group is a major Indian conglomerate best known for its alcoholic beverages business, including the flagship Kingfisher beer brand.
-
B.
WB Group
WB Group is a leading Polish defense technology company specializing in advanced military communications, unmanned systems, and battlefield management solutions.
-
C.
West Group
West Group was a major American legal publishing company best known for producing comprehensive case law reporters and legal research materials used by lawyers and courts.
-
D.
JR Group
JR Group is a collective of regional passenger railway companies in Japan that emerged from the privatization of the former Japanese National Railways.
-
E.
XL Group
XL Group is a global insurance and reinsurance company known for providing specialized risk management and underwriting solutions to businesses worldwide.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93ddce4819086174b2549f5e12b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.