Triple

T6656407
Position Surface form Disambiguated ID Type / Status
Subject Lycaonia E150956 entity
Predicate majorCity P316 FINISHED
Object Derbe E478895 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: Derbe | Statement: [Lycaonia, majorCity, Derbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derbe
Context triple: [Lycaonia, majorCity, Derbe]
  • A. Derbe chosen
    Derbe was an ancient city in the region of Lycaonia in Asia Minor, known from the New Testament as a place visited by Paul and his companions during their missionary journeys.
  • B. Durbach
    Durbach is a wine-growing municipality in southwestern Germany, renowned for its vineyards and picturesque location in the Black Forest region.
  • C. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • D. Dömitz
    Dömitz is a small historic town in northern Germany, known for its well-preserved fortress and location on the Elbe River near the former inner-German border.
  • E. Eulachstadt
    Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06dbbf88190b39564a688c25a24 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef028ccc8190a56395075c9aabf7 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.