Triple

T15855336
Position Surface form Disambiguated ID Type / Status
Subject State Route 126 E384438 entity
Predicate connectsCity P4245 FINISHED
Object Fillmore E222845 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: Fillmore | Statement: [State Route 126, connectsCity, Fillmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fillmore
Context triple: [State Route 126, connectsCity, Fillmore]
  • A. Fillmore chosen
    Fillmore is a small agricultural city in Ventura County, California, known for its historic downtown and citrus and avocado groves.
  • B. Fillmore
    Fillmore is a small city in central Utah that briefly served as the territorial capital in the mid-19th century and is now a local agricultural and service hub.
  • C. Fillmore
    Fillmore is a surname most notably associated with Millard Fillmore, the 13th president of the United States, and his wife Abigail Fillmore.
  • D. Fillmore
    Fillmore is a laid-back, hippie Volkswagen bus character from Pixar's Cars franchise known for his love of organic fuel and groovy lifestyle.
  • E. Millard Powers Fillmore
    Millard Powers Fillmore was the son of U.S. President Millard Fillmore, known primarily for his role as his father's private secretary and for managing the family estate.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caf6ae481909ae1385cb4548612 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14977408190815ef02cc54075cc completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.