Triple

T14251748
Position Surface form Disambiguated ID Type / Status
Subject Aksaray Province E353283 entity
Predicate historicalRegion P915 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: [Aksaray Province, historicalRegion, Cappadocia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cappadocia
Context triple: [Aksaray Province, historicalRegion, 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. Karaköse
    Karaköse is the former name of the city now known as Ağrı in eastern Turkey.
  • C. 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.
  • D. Manyas
    Manyas is a town and district in northwestern Turkey known for its proximity to Lake Manyas and its rich birdlife.
  • E. 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.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d127f0c81908dea42ca09c1abda completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:08 a.m.