Triple

T14854911
Position Surface form Disambiguated ID Type / Status
Subject Ginosar E349325 entity
Predicate hasNearbySite P350 FINISHED
Object Capernaum E44447 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: Capernaum | Statement: [Ginosar, hasNearbySite, Capernaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capernaum
Context triple: [Ginosar, hasNearbySite, Capernaum]
  • A. Capernaum chosen
    Capernaum was an ancient fishing village on the northwestern shore of the Sea of Galilee that became a central setting for Jesus’ ministry in the New Testament.
  • B. Bethsaida
    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.
  • C. Chorazin
    Chorazin was an ancient Galilean town near Capernaum, mentioned in the New Testament as one of the cities rebuked by Jesus for its unrepentance despite witnessing his miracles.
  • D. Tabgha
    Tabgha is a lakeside area on the northwestern shore of the Sea of Galilee in Israel, traditionally revered as the site of the miracle of the multiplication of the loaves and fishes.
  • E. Nazaret
    Nazaret is a coastal neighborhood in the Poblats Marítims district of Valencia, Spain, known for its maritime character and proximity to the port.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a87dd88190b0f0c3b9b625a7e6 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:54 a.m.