Triple

T14619446
Position Surface form Disambiguated ID Type / Status
Subject Siirt Province E343178 entity
Predicate capital P234 FINISHED
Object Siirt E311031 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: Siirt | Statement: [Siirt Province, capital, Siirt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siirt
Context triple: [Siirt Province, capital, Siirt]
  • A. Siirt chosen
    Siirt is a predominantly Kurdish-inhabited city in southeastern Turkey known for its historic mosques, traditional copper craftsmanship, and distinctive local cuisine.
  • B. Siirt Province
    Siirt Province is a predominantly Kurdish-inhabited province in southeastern Turkey known for its mountainous terrain, traditional culture, and production of items like Siirt blanket and pistachios.
  • C. Gömeç
    Gömeç is a small coastal town and district in western Turkey, situated along the Aegean Sea in the Marmara Region.
  • D. Sivas
    Sivas is a historic city in central Turkey that served as an important political, commercial, and cultural center in Anatolia, especially during the Seljuk and Ottoman periods.
  • E. Bitlis
    Bitlis is a historic city in eastern Turkey known for its dramatic mountainous setting, medieval stone architecture, and strategic location along ancient trade routes.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92688a08190bb27434acc7c12e7 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.