Triple

T4022997
Position Surface form Disambiguated ID Type / Status
Subject ANZAC Day E91320 entity
Predicate associatedWith P37 FINISHED
Object Çanakkale, Turkey E161750 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: Çanakkale, Turkey | Statement: [ANZAC Day, associatedWith, Çanakkale, Turkey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çanakkale, Turkey
Context triple: [ANZAC Day, associatedWith, Çanakkale, Turkey]
  • A. Giresun, Turkey
    Giresun, Turkey is a Black Sea coastal city in northeastern Turkey known for its hazelnut production and lush, hilly landscape.
  • B. Arnavutköy
    Arnavutköy is a district on the European side of Istanbul, Turkey, known for its rapidly developing urban areas and hosting the city’s main international airport.
  • C. Çanakkale Province chosen
    Çanakkale Province is a northwestern Turkish province of major historical and strategic importance, encompassing the Gallipoli Peninsula and controlling the Dardanelles strait between the Aegean Sea and the Sea of Marmara.
  • D. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • E. Menemen
    Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaccb2f48190a16a1ba6e938da85 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c82a33881908eb1b53331b10791 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.