Triple

T4889159
Position Surface form Disambiguated ID Type / Status
Subject California State Route 4 E109514 entity
Predicate passesThrough P225 FINISHED
Object Antioch E96407 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: Antioch | Statement: [California State Route 4, passesThrough, Antioch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antioch
Context triple: [California State Route 4, passesThrough, Antioch]
  • A. Antioch
    Antioch was an important ancient city in Syria that became a major center of early Christianity and missionary activity.
  • B. Antioch, California chosen
    Antioch, California is a historic city in the East Bay region of the San Francisco Bay Area known for its suburban communities along the Sacramento–San Joaquin River Delta.
  • C. Alexandria
    Alexandria is a historic Mediterranean port city in northern Egypt, renowned for its ancient library, lighthouse, and enduring role as a cultural and intellectual center.
  • D. Alexandria
    Alexandria is a mid-sized city in central Louisiana known as a regional hub for government, healthcare, and commerce along the Red River.
  • E. Alexandria
    Alexandria is the young girl whose friendship with a hospitalized stuntman drives the emotional narrative of the fantasy-drama film "The Fall" (2006).
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e06a81881908734dbdc350a2039 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681704f08190938aec498d7d4662 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:28 p.m.