Triple
T11504931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepsi Challenge |
E272757
|
entity |
| Predicate | positioningStrategy |
P53342
|
FINISHED |
| Object | taste superiority |
—
|
LITERAL 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: taste superiority | Statement: [Pepsi Challenge, positioningStrategy, taste superiority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positioningStrategy Context triple: [Pepsi Challenge, positioningStrategy, taste superiority]
-
A.
positioning
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
-
B.
positionStyle
Indicates how an entity is positioned or arranged relative to a reference frame, layout, or context.
-
C.
stylePositioning
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
D.
positioningStatement
chosen
Indicates a relationship where a statement defines how something is uniquely positioned or framed relative to alternatives or a target context.
-
E.
segmentPositioning
Indicates how segments are arranged or ordered relative to one another within a larger structure or sequence.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db2f4b08190801de1b773932f59 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.