Triple

T4307055
Position Surface form Disambiguated ID Type / Status
Subject Arianzum E99979 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: [Arianzum, region, Cappadocia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cappadocia
Context triple: [Arianzum, 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. Sancaktepe
    Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
  • D. Boğazköy
    Boğazköy is an important archaeological site in central Turkey best known as the location of Hattusa, the former capital of the Hittite Empire.
  • E. Nevşehir
    Nevşehir is a city in central Turkey that serves as the main urban center and gateway to the historic, cave-dotted region of Cappadocia.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350bb78cc8190a850aca47d8711cf completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db8e40f0819082a15006a1578405 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:09 p.m.