Triple

T22919397
Position Surface form Disambiguated ID Type / Status
Subject Royal Crown Cola Company E568816 entity
Predicate brand P1500 FINISHED
Object Nehi 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: Nehi | Statement: [Royal Crown Cola Company, brand, Nehi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nehi
Context triple: [Royal Crown Cola Company, brand, Nehi]
  • A. Nehi chosen
    Nehi is a vintage American soft drink brand best known for its fruit-flavored sodas, particularly popular in the mid-20th century.
  • B. Nebaj
    Nebaj is a highland town and municipality in Guatemala known for its indigenous Ixil Maya population, traditional culture, and role in the country’s recent history.
  • C. Naharlagun
    Naharlagun is a town in the Papum Pare district of Arunachal Pradesh, India, located near the state capital Itanagar and serving as an important local administrative and transport hub.
  • D. Von River
    The Von River is a waterway in New Zealand’s South Island that feeds into Lake Wakatipu, flowing through a remote, mountainous landscape popular for high-country farming and outdoor recreation.
  • E. Nambé River
    The Nambé River is a small tributary in northern New Mexico that flows through the traditional lands of Nambé Pueblo, supporting local agriculture and ecosystems before joining the Rio Grande watershed.
  • 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.