Triple

T12987122
Position Surface form Disambiguated ID Type / Status
Subject Inca Manco Cápac International Airport E321796 entity
Predicate operator P179 FINISHED
Object CORPAC E549367 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: CORPAC | Statement: [Inca Manco Cápac International Airport, operator, CORPAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CORPAC
Context triple: [Inca Manco Cápac International Airport, operator, CORPAC]
  • A. CORPAC
    CORPAC is the Peruvian state-owned corporation responsible for managing and operating numerous civil airports and air navigation services across Peru.
  • B. Nolcorp
    Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
  • C. Corpac S.A. chosen
    Corpac S.A. is a Peruvian state-owned company responsible for managing and operating airports and air navigation services in Peru.
  • D. Conrac
    Conrac was a company best known for manufacturing computer terminals and display systems, particularly for industrial and aviation applications.
  • E. Korpo
    Korpo is a large island in Finland’s southwestern archipelago, known for its coastal landscapes, small villages, and role as part of the municipality of Parainen.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f6245c8190867417c3ef1852e5 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:40 p.m.