Triple

T519170
Position Surface form Disambiguated ID Type / Status
Subject Galilee E10774 entity
Predicate contains P35 FINISHED
Object Magdala E42383 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: [Galilee, contains, Magdala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdala
Context triple: [Galilee, contains, Magdala]
  • A. 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.
  • B. 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.
  • C. Tel HaShomer
    Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
  • D. Bethsaida chosen
    Bethsaida was an ancient fishing village on the Sea of Galilee, traditionally known as the hometown of several of Jesus’s apostles in the New Testament.
  • E. Yokneam Illit
    Yokneam Illit is a city in northern Israel known for its high-tech industrial parks and rapid development from a small town into a regional technology hub.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f19ee6748190916603ef3a9e27f3 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c02c26808190b3078fb04f34572c completed March 1, 2026, 10:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.