Triple

T7790966
Position Surface form Disambiguated ID Type / Status
Subject Maio Airport E180176 entity
Predicate serves P98 FINISHED
Object Maio E93085 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: Maio | Statement: [Maio Airport, serves, Maio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maio
Context triple: [Maio Airport, serves, Maio]
  • A. Maio chosen
    Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
  • B. May
    May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
  • C. Januária
    Januária was a Brazilian princess of the Empire of Brazil, daughter of Emperor Pedro I and heir presumptive before the birth of her younger brother Pedro II.
  • D. April
    April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
  • E. Juin
    Juin is the surname of Alphonse Juin, a prominent French general and Marshal of France during World War II.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae9375dcc8190a6cb696c02aeceb7 completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13b38e708190a688ce4effbf7c48 completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:30 p.m.