Triple

T1071039
Position Surface form Disambiguated ID Type / Status
Subject Houghton Mifflin E23328 entity
Predicate brand P1500 FINISHED
Object Riverside E20504 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: Riverside | Statement: [Houghton Mifflin, brand, Riverside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riverside
Context triple: [Houghton Mifflin, brand, Riverside]
  • A. Riverside chosen
    Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
  • B. Hayward
    Hayward is a mid-sized city in the San Francisco Bay Area known for its diverse population, industrial and logistics hubs, and role as a transportation crossroads in Alameda County.
  • C. Oceanside
    Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
  • D. Westwood
    Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
  • E. Shafter
    Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92848148190ba8795cb8d0a1d0a completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f675824819091de0a83b2a6a0b3 completed March 7, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:42 p.m.