Triple

T9203116
Position Surface form Disambiguated ID Type / Status
Subject California State Route 99 E220897 entity
Predicate passesThrough P225 FINISHED
Object Madera E48422 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: Madera | Statement: [California State Route 99, passesThrough, Madera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madera
Context triple: [California State Route 99, passesThrough, Madera]
  • A. Madera chosen
    Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
  • B. Salinas
    Salinas is a small coastal settlement on the Cape Verdean island of Fogo, known for its proximity to volcanic landscapes and traditional fishing activities.
  • C. Salinas
    Salinas is a prominent agricultural city in Northern California, often called the "Salad Bowl of the World" and known as the birthplace of author John Steinbeck.
  • D. Tehama
    Tehama is a city in Northern California that serves as the namesake for Tehama County.
  • E. Arroyo Grande
    Arroyo Grande is a small coastal city in California known for its historic village, agricultural surroundings, and proximity to the beaches of the Central Coast.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd944e6208190adfcc7f75197387d completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c4953588190aa842de269eee56c completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:26 p.m.