Triple

T11735237
Position Surface form Disambiguated ID Type / Status
Subject Dioscorus I of Alexandria E279007 entity
Predicate exileLocation P10493 FINISHED
Object Gangra E877565 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: Gangra | Statement: [Dioscorus I of Alexandria, exileLocation, Gangra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangra
Context triple: [Dioscorus I of Alexandria, exileLocation, Gangra]
  • A. Gangra chosen
    Gangra is an ancient city in Paphlagonia, in what is now north-central Turkey, historically significant as a regional administrative and ecclesiastical center.
  • B. Gangi
    Gangi is a historic hilltop town in Sicily, Italy, renowned for its medieval architecture and picturesque views over the Madonie mountains.
  • C. Gorikai
    Gorikai is a central sacred text of the Japanese Konkokyo religion, containing the teachings and revelations of its founder.
  • D. Shingu
    Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
  • E. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4edced48190b7a59dd45921828e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0901a6ed481909054ddd581935ac4 completed April 28, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:41 p.m.