Triple

T887550
Position Surface form Disambiguated ID Type / Status
Subject Flight into Egypt E19163 entity
Predicate origin P410 FINISHED
Object Bethlehem 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 | Statement: [Flight into Egypt, origin, Bethlehem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethlehem
Context triple: [Flight into Egypt, origin, Bethlehem]
  • 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 suburban town in Albany County, New York, known for its residential communities, schools, and proximity to the city of Albany.
  • C. Hebron
    Hebron is one of the oldest continuously inhabited cities in the world, a major historic and religious center in the southern West Bank revered in Judaism, Islam, and Christianity.
  • D. Jerusalem
    Jerusalem is an ancient and historically significant city in the Middle East that serves as a major religious and cultural center for Judaism, Christianity, and Islam.
  • E. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace8b8688190ac065f92c017adec completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee02a21c819088e6a137ea306efd completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:39 p.m.