Triple
T38541690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topo Chico Hard Seltzer |
E924848
|
entity |
| Predicate | hasFlavorSeries |
P107732
|
FINISHED |
| Object | Topo Chico Hard Seltzer Variety Pack |
—
|
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: Topo Chico Hard Seltzer Variety Pack | Statement: [Topo Chico Hard Seltzer, hasFlavorSeries, Topo Chico Hard Seltzer Variety Pack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlavorSeries Context triple: [Topo Chico Hard Seltzer, hasFlavorSeries, Topo Chico Hard Seltzer Variety Pack]
-
A.
hasFlavorSequence
Indicates that one entity possesses or exhibits a specific ordered sequence of flavors associated with it.
-
B.
isFlavored
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
C.
hasFlavorType
chosen
Indicates that an entity possesses or is characterized by a particular type or category of flavor.
-
D.
isOfficialFlavorOf
Indicates that one item is formally recognized or designated as an official flavor associated with another entity (such as a brand, product line, or event).
-
E.
hasFlavorAssociation
Indicates a relationship where one entity is conceptually or perceptually linked to a particular flavor or taste profile.
- F. None of above.
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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 3, 2026, 4:32 p.m.