Triple

T18828446
Position Surface form Disambiguated ID Type / Status
Subject Yaghi-Siyan E460455 entity
Predicate controlled P4700 FINISHED
Object city of 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: city of Antioch | Statement: [Yaghi-Siyan, controlled, city of Antioch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Antioch
Context triple: [Yaghi-Siyan, controlled, city of Antioch]
  • A. Antioche
    Antioche is a figure from Greek mythology known primarily as the wife of the hero Eurytus.
  • B. Antioch on the Orontes chosen
    Antioch on the Orontes was a major ancient city in Syria that became a leading political, commercial, and cultural center of the Hellenistic and later Roman worlds.
  • C. Antioch
    Antioch was the former name of the small rural community now known as Louvale in Stewart County, Georgia.
  • D. Antioch
    Antioch was an important ancient city in Syria that became a major center of early Christianity and missionary activity.
  • E. Antiochia ad Cragum
    Antiochia ad Cragum is an ancient Roman-era city on Turkey’s Mediterranean coast, noted for its well-preserved ruins including baths, mosaics, and fortifications.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99554848190933dd2810f5c810f completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.