Triple

T14512371
Position Surface form Disambiguated ID Type / Status
Subject Batman Province E340428 entity
Predicate hasCity P316 FINISHED
Object Sason E728080 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: Sason | Statement: [Batman Province, hasCity, Sason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sason
Context triple: [Batman Province, hasCity, Sason]
  • A. Sason
    Sason is a surname most notably associated with Swedish industrial designer Sixten Sason, known for his influential work with Saab automobiles.
  • B. Sason chosen
    Sason is a town and district in Batman Province in southeastern Turkey, historically known as Sassoun and noted for its Armenian cultural heritage and mountainous terrain.
  • C. Sarnıç
    Sarnıç is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, known for its vivid portrayals of everyday life and marginalized characters in Istanbul.
  • D. Turkomaneli
    Turkomaneli is a term referring to the regions of Iraq predominantly inhabited by the Iraqi Turkmen ethnic minority.
  • E. Sarikoli
    Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6c6054819086b4c0ce1d83fdc5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da48b2c8190a906965a7ebcb607 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.