Triple
T22918999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondelez International |
E568804
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Clorets |
—
|
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: Clorets | Statement: [Mondelez International, brand, Clorets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clorets Context triple: [Mondelez International, brand, Clorets]
-
A.
Clorets
chosen
Clorets is a brand of chewing gum and mints known for its breath-freshening properties.
-
B.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
C.
Panazol
Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
-
D.
Caph
Caph is a bright F-type giant star in the constellation Cassiopeia, notable as one of the prominent stars forming its characteristic "W" shape.
-
E.
Normacot
Normacot is a residential area in Stoke-on-Trent, Staffordshire, England, known for its Victorian terraced housing and proximity to other Potteries districts such as Blurton.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d316188190901d9356c07110e3 |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:42 p.m.