Triple

T19294323
Position Surface form Disambiguated ID Type / Status
Subject Machlon E482521 entity
Predicate associatedWithLocation P2830 FINISHED
Object Bethlehem in Judah 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: Bethlehem in Judah | Statement: [Machlon, associatedWithLocation, Bethlehem in Judah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethlehem in Judah
Context triple: [Machlon, associatedWithLocation, Bethlehem in Judah]
  • A. Bethlehem chosen
    Bethlehem is an ancient town in the West Bank historically revered as the birthplace of Jesus and a major center of Christian pilgrimage.
  • B. Bethlehem
    Bethlehem is a suburb of Tauranga in New Zealand’s Bay of Plenty region, known for its strong Māori presence and community facilities, including marae associated with local iwi.
  • C. Bethlehem
    Bethlehem is a suburban town in Albany County, New York, known for its residential communities, schools, and proximity to the city of Albany.
  • D. Bethlehem
    Bethlehem is a small rural town in western Connecticut known for its historic charm and traditional New England character.
  • E. Bethlehem
    Bethlehem is a historic city in eastern Pennsylvania known for its former steel industry, vibrant arts scene, and role as home to Lehigh University.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc84500c81908ac53711335ad2d9 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.