Triple

T16558160
Position Surface form Disambiguated ID Type / Status
Subject Biblical places E402262 entity
Predicate hasExample P1259 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: [Biblical places, hasExample, Capernaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capernaum
Context triple: [Biblical places, hasExample, 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576bce0c819087ab36f7dec5c394 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067bcb698819092ede6ba4f8a4a2b completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.