Triple

T3103634
Position Surface form Disambiguated ID Type / Status
Subject Perekop E64777 entity
Predicate hasAlternativeName P39 FINISHED
Object Or Qapı E90696 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: Or Qapı | Statement: [Perekop, hasAlternativeName, Or Qapı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Or Qapı
Context triple: [Perekop, hasAlternativeName, Or Qapı]
  • A. Vurun Kahpeye
    Vurun Kahpeye is a Turkish novel by Halide Edib Adıvar that portrays the struggles and sacrifices of Anatolian people during the Turkish War of Independence.
  • B. Çalıkuşu
    Çalıkuşu is a classic early 20th-century Turkish novel that follows the life and struggles of an idealistic young female teacher, and is widely regarded as one of the foundational works of modern Turkish literature.
  • C. Kagizman chosen
    Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
  • D. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • E. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26f376c8190a049399e33314d52 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203846a108190a97c30c463e119b1 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.