Triple

T1960020
Position Surface form Disambiguated ID Type / Status
Subject Santa María E42362 entity
Predicate sailedWith P880 FINISHED
Object Pinta E43365 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: Pinta | Statement: [Santa María, sailedWith, Pinta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinta
Context triple: [Santa María, sailedWith, Pinta]
  • A. Pinta chosen
    Pinta was one of the three ships in Christopher Columbus's 1492 expedition that led to the European discovery of the Americas.
  • B. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • C. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • D. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • E. Puerto Luisa
    Puerto Luisa is the former name of Puerto Williams, a small Chilean town on Navarino Island often cited as one of the southernmost settlements in the world.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37f737881908130bb828affcaa2 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae031ef4e48190af93dfd6f33184d3 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.