Triple

T14668985
Position Surface form Disambiguated ID Type / Status
Subject Migdal E344456 entity
Predicate traditionalIdentification P42875 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: [Migdal, traditionalIdentification, Magdala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdala
Context triple: [Migdal, traditionalIdentification, 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. Nitzana
    Nitzana is an ancient desert settlement in the Negev region of southern Israel, known for its archaeological remains and historical role on trade and pilgrimage routes.
  • C. 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.
  • D. Gilgad
    Gilgad is a fictional island kingdom in L. Frank Baum’s Oz universe, notably featured as the home of King Rinkitink in the book "Rinkitink in Oz."
  • E. Kfar Shmaryahu
    Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e9bb2081908515ab6430e9b1c2 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.