Triple

T22144812
Position Surface form Disambiguated ID Type / Status
Subject Bartholomew I of Constantinople E547257 entity
Predicate birthPlace P1 FINISHED
Object İmroz 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: İmroz | Statement: [Bartholomew I of Constantinople, birthPlace, İmroz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: İmroz
Context triple: [Bartholomew I of Constantinople, birthPlace, İmroz]
  • A. İmroz chosen
    İmroz, now known as Gökçeada, is a large Aegean island of Turkey historically home to a significant Greek community.
  • B. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • C. Zangilan
    Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
  • D. Eisma
    Eisma is a small coastal village in northern Estonia known for its seaside location and natural surroundings.
  • E. Zriba
    Zriba is a small town in northeastern Tunisia, known for its traditional architecture and proximity to the historic city of Zaghouan.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.