Triple

T404857
Position Surface form Disambiguated ID Type / Status
Subject Apostle John E9360 entity
Predicate associatedPlace P1481 FINISHED
Object Ephesus E50337 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: Ephesus | Statement: [Apostle John, associatedPlace, Ephesus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ephesus
Context triple: [Apostle John, associatedPlace, Ephesus]
  • A. Ephesus chosen
    Ephesus was an ancient Greek and later Roman city in Asia Minor, famed for its grand Temple of Artemis and its significance as an early center of Christianity.
  • B. Smyrna
    Smyrna was a major Aegean port city (modern-day İzmir in Turkey) that served as a key commercial and cultural hub in the Ottoman Empire.
  • C. Tarsus
    Tarsus is an ancient city in Cilicia (in modern-day Turkey) known as a major cultural and commercial center of the Roman Empire and as the birthplace of the Apostle Paul.
  • D. Cyrene
    Cyrene is an ancient Greek and Roman city in eastern Libya renowned for its well-preserved ruins and historical significance as a major center of classical civilization.
  • E. Naissus
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eca37fe881909802126952dfdd59 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b47e87c8190bb9e62dcee7a59c6 completed March 1, 2026, 10:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.