Triple

T12968988
Position Surface form Disambiguated ID Type / Status
Subject Theodoret of Cyrrhus E321343 entity
Predicate birthPlace P1 FINISHED
Object Antioch E26797 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: [Theodoret of Cyrrhus, birthPlace, Antioch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antioch
Context triple: [Theodoret of Cyrrhus, birthPlace, 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. 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.
  • D. 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.
  • E. Phoenice
    Phoenice was an important ancient city in Epirus that served as a major political and economic center in the Hellenistic period.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:33 p.m.