Triple

T17715856
Position Surface form Disambiguated ID Type / Status
Subject Tell Abyad E442196 entity
Predicate borderCrossingWith P4105 FINISHED
Object Akçakale 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: Akçakale | Statement: [Tell Abyad, borderCrossingWith, Akçakale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akçakale
Context triple: [Tell Abyad, borderCrossingWith, Akçakale]
  • A. Akçakale chosen
    Akçakale is a town and district in southeastern Turkey located on the Syrian border, known as a key border crossing and part of Şanlıurfa Province.
  • B. Akçakoca
    Akçakoca is a coastal town and district on Turkey’s Black Sea shore, known for its beaches, hazelnut production, and tourism.
  • C. Kalecik
    Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
  • D. Kırcaali
    Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
  • E. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47480955481908fa0d3d34aaedd48 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.