Triple

T4637037
Position Surface form Disambiguated ID Type / Status
Subject Santa Marta E101556 entity
Predicate namedAfter P63 FINISHED
Object Saint Martha E58728 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 Martha | Statement: [Santa Marta, namedAfter, Saint Martha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Martha
Context triple: [Santa Marta, namedAfter, Saint Martha]
  • A. Saint Martha chosen
    Saint Martha is a New Testament figure, sister of Mary and Lazarus, venerated as a saint for her hospitality and service to Jesus.
  • B. Saint Elizabeth
    Saint Elizabeth is a biblical figure known as the mother of John the Baptist and a relative of the Virgin Mary, revered for her faith and role in the events preceding Jesus’s birth.
  • C. Saint Rosalia
    Saint Rosalia is a 12th-century Sicilian hermit and patron saint of Palermo, venerated for miraculously ending a plague and celebrated in annual religious festivals.
  • D. Santa Úrsula
    Santa Úrsula is a neighborhood in Mexico City best known for hosting the iconic Estadio Azteca football stadium.
  • E. Maria Magdalena Church
    Maria Magdalena Church is a historic Lutheran parish church in central Stockholm, Sweden, known for its Baroque architecture and prominent hilltop location on Södermalm.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacba5fc8190bc86157ee5719ced completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.