Triple
T18065700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.G. Barr |
E432286
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Rubicon |
—
|
NE NERFINISHED |
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: Rubicon | Statement: [A.G. Barr, brand, Rubicon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubicon Context triple: [A.G. Barr, brand, Rubicon]
-
A.
Rubicon
Rubicon is a major expansion for the sci-fi MMORPG EVE Online that introduced new features focused on player-driven warfare, infrastructure, and long-term strategic planning.
-
B.
Rubicon
Rubicon is an off-road-focused trim level in Jeep’s lineup, known for its enhanced four-wheel-drive hardware and rugged trail capability.
-
C.
Rubicon
Rubicon is an American conspiracy thriller television series that follows an intelligence analyst who uncovers a complex web of secretive organizations and hidden agendas.
-
D.
Rubicon
Rubicon is a peer-reviewed open-access journal published by Frontiers that focuses on interdisciplinary research and scholarly communication.
-
E.
Rubicon
chosen
Rubicon is a popular British soft drink brand known for its exotic fruit-flavoured beverages such as mango and guava.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce81de88190bd94d4ccee3e180c |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.