Triple

T19786146
Position Surface form Disambiguated ID Type / Status
Subject Frankenberg, Hesse E475272 entity
Predicate hasTwinTown P919 FINISHED
Object Sancaktepe 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: Sancaktepe | Statement: [Frankenberg, Hesse, hasTwinTown, Sancaktepe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sancaktepe
Context triple: [Frankenberg, Hesse, hasTwinTown, Sancaktepe]
  • A. Sancaktepe chosen
    Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
  • B. Savaştepe
    Savaştepe is a town and district in western Turkey, located within the Marmara Region.
  • C. Koyulhisar
    Koyulhisar is a town and district in central Turkey known for its mountainous terrain and location within the historical region of Sivas.
  • D. Gayrettepe
    Gayrettepe is a central neighborhood on Istanbul’s European side known for its busy commercial areas, major road junctions, and proximity to key business districts.
  • E. Gökdepe
    Gökdepe is a historic town in southern Turkmenistan known for the 1881 Battle of Geok Tepe between Russian imperial forces and Turkmen defenders.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65387d3348190a31f9c2f9bc1c6d9 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.