Triple

T12450861
Position Surface form Disambiguated ID Type / Status
Subject Büyük Taarruz E297527 entity
Predicate location P40 FINISHED
Object Dumlupınar E297526 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: Dumlupınar | Statement: [Büyük Taarruz, location, Dumlupınar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dumlupınar
Context triple: [Büyük Taarruz, location, Dumlupınar]
  • A. Dumlupınar chosen
    Dumlupınar is a town in western Turkey best known as the decisive battlefield where Turkish forces secured victory in the 1922 Great Offensive of the Turkish War of Independence.
  • B. Göksu
    Göksu is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its riverside setting along the Göksu Creek on the Asian side of the Bosphorus.
  • C. Ergene
    Ergene is a district and municipality in Turkey’s Tekirdağ Province, located in the European (Thrace) part of the country and known for its industrial activity.
  • D. Gelibolu
    Gelibolu is a historic coastal town in Turkey located on the Gallipoli Peninsula, known for its strategic position on the Dardanelles and its role in Ottoman and World War I history.
  • E. Sakarya
    Sakarya is a city in northwestern Turkey known for its strategic location near the Black Sea and its role as an important industrial and transportation hub.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9fa5f0819080ca9f6efa212c59 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9f4dd08190b1d62b03d68cc8a6 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.