Triple

T8953722
Position Surface form Disambiguated ID Type / Status
Subject Kaneš E213419 entity
Predicate region P40 FINISHED
Object Cappadocia E61224 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: Cappadocia | Statement: [Kaneš, region, Cappadocia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cappadocia
Context triple: [Kaneš, region, Cappadocia]
  • A. Cappadocia chosen
    Cappadocia is a historical region in central Turkey famed for its otherworldly rock formations, underground cities, and early Christian heritage.
  • B. Göreme
    Göreme is a historic town in central Turkey renowned for its unique rock formations, cave dwellings, and rock-cut churches within the Göreme National Park in the Cappadocia region.
  • C. Manyas
    Manyas is a town and district in northwestern Turkey known for its proximity to Lake Manyas and its rich birdlife.
  • D. Gemlik
    Gemlik is a coastal town and district in Bursa Province, northwestern Turkey, known for its port on the Sea of Marmara and its olive production.
  • E. Kayseri Plain
    The Kayseri Plain is a broad, fertile inland plain in central Turkey that forms the agricultural and settlement heartland around the city of Kayseri.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670f88d0819085d7308a5cf6c764 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc210302c8190b1c062fcbcfeb0f6 completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 7 p.m.