Triple
T6107523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PepsiCo |
E136151
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Tostitos |
E77118
|
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: Tostitos | Statement: [PepsiCo, hasBrand, Tostitos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tostitos Context triple: [PepsiCo, hasBrand, Tostitos]
-
A.
Tostitos
chosen
Tostitos is a popular American brand of tortilla chips and related snack foods produced by Frito-Lay.
-
B.
TACO
TACO is a peer-reviewed scientific journal published by the ACM that focuses on research in computer architecture and code optimization.
-
C.
Rusty Taco
Rusty Taco is a fast-casual restaurant chain known for its street-style tacos and laid-back atmosphere.
-
D.
Tost
Tost is a town in present-day Toszek, Poland, historically part of Upper Silesia.
-
E.
Utz
Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
- 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.