Triple

T15783811
Position Surface form Disambiguated ID Type / Status
Subject Atakule Tower E382684 entity
Predicate name P16 FINISHED
Object Atakule E86887 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: Atakule | Statement: [Atakule Tower, name, Atakule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atakule
Context triple: [Atakule Tower, name, Atakule]
  • A. Atakule chosen
    Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • B. Atakum
    Atakum is a coastal district and rapidly developing urban area of the city of Samsun on Turkey’s Black Sea coast, known for its beaches and residential neighborhoods.
  • C. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • D. Atakad
    Atakad are a subgroup of the Atyap people, an ethnic community indigenous to southern Kaduna State in Nigeria.
  • E. Yatağan
    Yatağan is a town and district in southwestern Turkey known for its historical sites and traditional knife-making heritage.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05401c4788190a31c180953433db9 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a4661481909d04bcb9f5043a6b completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.