Triple

T17547541
Position Surface form Disambiguated ID Type / Status
Subject San Cristóbal Airport E427367 entity
Predicate ICAOcode P419 FINISHED
Object SEST NE NERFINISHED

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: SEST | Statement: [San Cristóbal Airport, ICAOcode, SEST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEST
Context triple: [San Cristóbal Airport, ICAOcode, SEST]
  • A. SEST chosen
    SEST is the ICAO airport code for San Cristóbal Airport, which serves San Cristóbal Island in the Galápagos, Ecuador.
  • B. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • C. STE
    STE is the public agency that operates Mexico City’s electric transport services, including trolleybuses and light rail.
  • D. sebaste
    Sebaste was a prestigious Byzantine court title, often granted to high-ranking women of the imperial family to signify their elevated status and influence.
  • E. SETE
    SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.