Triple

T5850261
Position Surface form Disambiguated ID Type / Status
Subject proto-orthodox Christianity E130009 entity
Predicate geographicCenter P1822 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: [proto-orthodox Christianity, geographicCenter, Antioch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antioch
Context triple: [proto-orthodox Christianity, geographicCenter, 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, 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.
  • C. Phoenice
    Phoenice was an important ancient city in Epirus that served as a major political and economic center in the Hellenistic period.
  • D. 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.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03515dc0c81908797a9713f1a603f completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a17bb5908190849f7e84ba18b0e3 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:55 p.m.