Triple

T16977499
Position Surface form Disambiguated ID Type / Status
Subject Isa ibn Maryam E411849 entity
Predicate associatedWith P37 FINISHED
Object Nazareth E4634 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: Nazareth | Statement: [Isa ibn Maryam, associatedWith, Nazareth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazareth
Context triple: [Isa ibn Maryam, associatedWith, Nazareth]
  • A. Nazareth chosen
    Nazareth is a historic town in modern-day Israel best known as the childhood home of Jesus and a major center of Christian pilgrimage.
  • B. Nazareth
    Nazareth is a Scottish hard rock band formed in the late 1960s, best known for hits like "Love Hurts" and their influential heavy rock sound.
  • C. Nazareth
    Nazareth is a municipality in the East Flanders province of Belgium, situated near the city of Ghent.
  • D. Nazareth
    Nazareth is a small borough in eastern Pennsylvania known for its historic charm and proximity to the Lehigh Valley region.
  • E. Nazareth Illit
    Nazareth Illit, now known as Nof HaGalil, is a city in northern Israel located near the historic city of Nazareth.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d184f2cc81908ac629c8f87696f8 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d477f7ec81909f1f0243004c9050 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.