Triple

T15722773
Position Surface form Disambiguated ID Type / Status
Subject California State Route 210 E381140 entity
Predicate passesThrough P225 FINISHED
Object Fontana E53963 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: Fontana | Statement: [California State Route 210, passesThrough, Fontana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fontana
Context triple: [California State Route 210, passesThrough, Fontana]
  • A. Fontana
    Fontana was a British paperback imprint of HarperCollins known for publishing popular fiction and non-fiction titles in the 20th century.
  • B. Fontana
    Fontana is a small village on the island of Gozo in Malta, known for its traditional character and proximity to Victoria.
  • C. Fontana
    Fontana is a small village on the Greek island of Paxos, known for its traditional architecture and tranquil, rural atmosphere.
  • D. Fontana, California chosen
    Fontana, California is a large suburban city in San Bernardino County known for its logistics hubs, industrial centers, and proximity to major Southern California freeways.
  • E. Fullerton
    Fullerton is a major Chicago Transit Authority station in the Lincoln Park neighborhood that serves multiple 'L' lines and connects riders to both local destinations and downtown Chicago.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0bc4e88190be83324776b26df9 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:45 a.m.