Triple

T6460150
Position Surface form Disambiguated ID Type / Status
Subject Beyond Meat E142096 entity
Predicate hasPartnershipWith P1136 FINISHED
Object Pizza Hut E23468 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: Pizza Hut | Statement: [Beyond Meat, hasPartnershipWith, Pizza Hut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pizza Hut
Context triple: [Beyond Meat, hasPartnershipWith, Pizza Hut]
  • A. Pizza Hut chosen
    Pizza Hut is a global American restaurant chain known for its pizza, pasta, and other Italian-American dishes, operating thousands of locations worldwide.
  • B. Papa Johns
    Papa Johns is a major American pizza restaurant franchise known for its delivery and carryout services worldwide.
  • C. Little Caesars
    Little Caesars is a major American pizza chain best known for its low-cost, “Hot-N-Ready” pizzas and widespread carryout locations.
  • D. Pizza Express (restaurant)
    Pizza Express is a popular UK-based restaurant chain known for its casual dining atmosphere and Italian-style pizzas.
  • E. Pizza Hut Park
    Pizza Hut Park, now known as Toyota Stadium, is a soccer-specific stadium in Frisco, Texas that hosts professional matches and major tournaments.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f50ea88190af29c8c249ff2b69 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be1fad88190af07b7053811e3f2 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:48 p.m.