Triple

T17610541
Position Surface form Disambiguated ID Type / Status
Subject Life of Macrina E428953 entity
Predicate geographicalSetting P3227 FINISHED
Object Cappadocia NE NERFINISHED

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: [Life of Macrina, geographicalSetting, Cappadocia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cappadocia
Context triple: [Life of Macrina, geographicalSetting, 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. Hasankeyf
    Hasankeyf is an ancient town in southeastern Turkey renowned for its rich archaeological heritage and dramatic setting along the Tigris River.
  • D. 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.
  • E. Manyas
    Manyas is a town and district in northwestern Turkey known for its proximity to Lake Manyas and its rich birdlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2d294881908380b2ab0b4d2503 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.