Triple

T9409077
Position Surface form Disambiguated ID Type / Status
Subject Jesus’ Galilean ministry E226660 entity
Predicate hasRegion P285 FINISHED
Object Magdala E69972 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: Magdala | Statement: [Jesus’ Galilean ministry, hasRegion, Magdala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdala
Context triple: [Jesus’ Galilean ministry, hasRegion, Magdala]
  • A. Magdala chosen
    Magdala is an ancient fishing town on the western shore of the Sea of Galilee, traditionally known as the hometown of Mary Magdalene in Christian tradition.
  • B. Kfar Gamla
    Kfar Gamla is an ancient village in the Holy Land traditionally associated with the discovery of relics attributed to Saint Stephen, the first Christian martyr.
  • C. Kfar Shmaryahu
    Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
  • 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. Tel Afula
    Tel Afula is an archaeological mound in northern Israel containing remains from multiple ancient periods that shed light on the region’s long-term settlement history.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd52547f0c81908ed4f53b9f05ebaa completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a5fcc081909a2d743e9673fe9e completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.