Triple

T8339081
Position Surface form Disambiguated ID Type / Status
Subject Kartal E195863 entity
Predicate locatedSouthOf P9676 FINISHED
Object Sancaktepe E169511 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: Sancaktepe | Statement: [Kartal, locatedSouthOf, Sancaktepe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sancaktepe
Context triple: [Kartal, locatedSouthOf, 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. Şereflikoçhisar
    Şereflikoçhisar is a district and town in central Turkey known for its proximity to the vast Tuz Gölü (Salt Lake) and its salt production.
  • D. Toprakkale
    Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
  • E. Kartepe
    Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd68e348190a7cb8639a263b50f completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc2b3890819091f8947ebf31bad0 completed April 2, 2026, 8:06 p.m.
Created at: March 30, 2026, 5:57 p.m.