Triple

T924993
Position Surface form Disambiguated ID Type / Status
Subject Mary Magdalene E19963 entity
Predicate hasNameOrigin P3325 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: [Mary Magdalene, hasNameOrigin, Magdala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdala
Context triple: [Mary Magdalene, hasNameOrigin, 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. 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.
  • C. Abu Tor
    Abu Tor is a mixed Jewish-Arab residential neighborhood in southern Jerusalem, known for its hillside location overlooking the Old City.
  • D. Qumran
    Qumran is an archaeological site in the West Bank best known for its ancient ruins and its association with the nearby caves where the Dead Sea Scrolls were discovered.
  • E. Nahariya
    Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b32ad9f88190b7d477d0a9a9dbc8 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbad10ae48190af7dcaa8dfff30ec completed March 7, 2026, 11:54 p.m.
Created at: March 1, 2026, 7:40 p.m.