Triple

T20320551
Position Surface form Disambiguated ID Type / Status
Subject Peter E492195 entity
Predicate preachedIn P10206 FINISHED
Object Antioch 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: Antioch | Statement: [Peter, preachedIn, Antioch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antioch
Context triple: [Peter, preachedIn, Antioch]
  • A. Antioch chosen
    Antioch was an important ancient city in Syria that became a major center of early Christianity and missionary activity.
  • B. Antioch
    Antioch was the former name of the small rural community now known as Louvale in Stewart County, Georgia.
  • C. Antioche
    Antioche is a figure from Greek mythology known primarily as the wife of the hero Eurytus.
  • D. Antioch, California
    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.
  • E. Antioch, Tennessee
    Antioch, Tennessee is a suburban neighborhood of Nashville known nationally as the site of the 2018 Waffle House shooting stopped by James Shaw Jr.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778b8b648190b80badaf15be2599 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:20 a.m.