Triple

T13053364
Position Surface form Disambiguated ID Type / Status
Subject São Bento (Angra do Heroísmo) E327501 entity
Predicate hasIsland P970 FINISHED
Object Terceira E1018101 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: Terceira | Statement: [São Bento (Angra do Heroísmo), hasIsland, Terceira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terceira
Context triple: [São Bento (Angra do Heroísmo), hasIsland, Terceira]
  • A. Terceira chosen
    Terceira is a volcanic island in Portugal’s Azores archipelago, known for its historic city of Angra do Heroísmo, rich maritime history, and distinctive Atlantic landscapes.
  • B. Tretes
    Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
  • C. Tertia
    Tertia, more fully known as Mucia Tertia, was a prominent Roman noblewoman of the late Republic, best known as the third wife of Pompey the Great.
  • D. Secunda
    Secunda is a South African industrial town in Mpumalanga province, best known for its large coal-to-liquid fuel and petrochemical operations centered around Sasol’s facilities.
  • E. Tresenta
    Tresenta is a mountain peak in Italy’s Graian Alps, located within the Gran Paradiso massif and popular with alpine climbers.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bb52d88190b5be12000e27a2c9 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e26c1f0081908100cae2cf39ac90 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 8:58 p.m.