Triple

T21770255
Position Surface form Disambiguated ID Type / Status
Subject Foothill High School E537403 entity
Predicate city P40 FINISHED
Object Palo Cedro 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: Palo Cedro | Statement: [Foothill High School, city, Palo Cedro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palo Cedro
Context triple: [Foothill High School, city, Palo Cedro]
  • A. Palo Cedro chosen
    Palo Cedro is a small unincorporated community in Northern California known for its rural character and proximity to the city of Redding.
  • B. Palo Seco
    Palo Seco is a coastal barrio of the municipality of Toa Baja in Puerto Rico, known for its small residential community and proximity to San Juan Bay.
  • C. El Cedro
    El Cedro is a small settlement located on Zacate Grande Island off the Pacific coast of Honduras.
  • D. Naranjo de Bulnes
    Naranjo de Bulnes is a famous limestone peak in Spain’s Picos de Europa, renowned among climbers for its steep walls and striking, isolated profile.
  • E. Loma del Capiro
    Loma del Capiro is a historic hill and viewpoint in Santa Clara, Cuba, known for its role in the Cuban Revolution and its panoramic views of the city.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031ad76848190b2c7a05d091b7faf completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.