Triple
T6107509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PepsiCo |
E136151
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Tropicana |
E109821
|
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: Tropicana | Statement: [PepsiCo, hasBrand, Tropicana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tropicana Context triple: [PepsiCo, hasBrand, Tropicana]
-
A.
The Tropicana
The Tropicana is a seafront leisure and events complex in Weston-super-Mare, England, best known for hosting large-scale art installations and public entertainment.
-
B.
Tropicana Products
chosen
Tropicana Products is a major American brand best known for producing and marketing fruit-based beverages, especially orange juice.
-
C.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
-
D.
Dole
Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
-
E.
Dole
Dole is a surname most prominently associated with American politician and former U.S. Senator Bob Dole.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b81fad081909b622cafc6d51249 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1255b27a88190b45b664a2ba41166 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.