Triple

T590803
Position Surface form Disambiguated ID Type / Status
Subject St. Anne Parish (Littleton, Massachusetts) E17264 entity
Predicate namedAfter P63 FINISHED
Object Saint Anne E4646 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: Saint Anne | Statement: [St. Anne Parish (Littleton, Massachusetts), namedAfter, Saint Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Anne
Context triple: [St. Anne Parish (Littleton, Massachusetts), namedAfter, Saint Anne]
  • A. Saint Anne chosen
    Saint Anne is traditionally venerated in Christian theology as the mother of the Virgin Mary and the grandmother of Jesus.
  • B. Virgin Mary
    The Virgin Mary is revered in Christianity as the mother of Jesus Christ and a central figure of faith, purity, and devotion.
  • C. Saint Martha
    Saint Martha is a New Testament figure, sister of Mary and Lazarus, venerated as a saint for her hospitality and service to Jesus.
  • D. Saint Catherine
    Saint Catherine is a town in Egypt’s Sinai Peninsula best known as the gateway to Mount Sinai and the historic Saint Catherine’s Monastery, a UNESCO World Heritage Site.
  • E. Saint Barbara
    Saint Barbara is a Christian martyr venerated as the patron saint of artillerymen, military engineers, and others who work with explosives and dangerous occupations.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bb8ff0081909cd53d88930e2693 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51554857481909c684b86b51aa126 completed March 2, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:33 p.m.