Triple
T22959512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domino Sugar sign |
E570853
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Domino Sugar |
—
|
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: Domino Sugar | Statement: [Domino Sugar sign, ownedBy, Domino Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domino Sugar Context triple: [Domino Sugar sign, ownedBy, Domino Sugar]
-
A.
Domino Sugar
chosen
Domino Sugar is a well-known American brand of refined sugar products, historically linked to large-scale sugar refining and iconic factory signage in the United States.
-
B.
Sakkarin
Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
-
C.
Imperial Sugar
Imperial Sugar is a historic American sugar refining company closely associated with the development and identity of Sugar Land, Texas.
-
D.
Tate & Lyle
Tate & Lyle is a British multinational agribusiness and food ingredients company best known historically for its sugar refining operations.
-
E.
Rock Sugar
Rock Sugar is an American rock band known for its humorous mashups that blend classic heavy metal songs with 1980s pop hits.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f3c96081909abd6ec32103d4c3 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.