Triple
T15919720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football Conference |
E386059
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Vanarama (historical) |
E318154
|
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: Vanarama (historical) | Statement: [Football Conference, sponsor, Vanarama (historical)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanarama (historical) Context triple: [Football Conference, sponsor, Vanarama (historical)]
-
A.
Vanarama
chosen
Vanarama is a UK-based vehicle leasing and finance company known for its prominent sponsorship of English football leagues and clubs.
-
B.
Vanakbara
Vanakbara is a coastal village and fishing port located in the Diu district of the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
C.
Varty
Varty is a character in the 1996 adventure film "Michael," which stars John Travolta as an unconventional archangel visiting Earth.
-
D.
Vana
Vana is a diminutive or nickname commonly used for the given name Silvana.
-
E.
Vennachar
Vennachar is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15680c7b881909150f8b53bc058d4 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a79b808190850fa9d327f7ef72 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.