Triple

T10814653
Position Surface form Disambiguated ID Type / Status
Subject נָעֳמִי E255192 entity
Predicate associatedWith P37 FINISHED
Object Bethlehem (biblical city) E8382 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: Bethlehem (biblical city) | Statement: [נָעֳמִי, associatedWith, Bethlehem (biblical city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethlehem (biblical city)
Context triple: [נָעֳמִי, associatedWith, Bethlehem (biblical city)]
  • A. Bethlehem
    Bethlehem is a suburban town in Albany County, New York, known for its residential communities, schools, and proximity to the city of Albany.
  • B. Bethlehem
    Bethlehem is a small rural town in western Connecticut known for its historic charm and traditional New England character.
  • C. 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.
  • D. 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.
  • E. Beit She'an
    Beit She'an is an ancient city in northeastern Israel known for its extensive archaeological remains, including a well-preserved Roman-Byzantine ruins complex.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733ece4488190b553a66c4b5188bc completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.