Triple

T282810
Position Surface form Disambiguated ID Type / Status
Subject Palestinian E5824 entity
Predicate hasMajorCity P316 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: [Palestinian, hasMajorCity, Bethlehem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethlehem
Context triple: [Palestinian, hasMajorCity, 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. 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.
  • C. 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.
  • D. Tiberias
    Tiberias is an ancient city in northern Israel on the western shore of the Sea of Galilee, historically significant as a major center of Jewish learning and pilgrimage.
  • E. Nablus
    Nablus is a historic Palestinian city in the northern West Bank, known for its ancient Old City, bustling markets, and production of traditional Nabulsi soap.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e0c14b48190a5c936bab36180b3 completed Feb. 28, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3b470104481909a88b9ceba6e6ddb completed March 1, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.