Triple

T19262329
Position Surface form Disambiguated ID Type / Status
Subject El Loa Airport E481678 entity
Predicate ICAO code P419 FINISHED
Object SCCF 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: SCCF | Statement: [El Loa Airport, ICAO code, SCCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCCF
Context triple: [El Loa Airport, ICAO code, SCCF]
  • A. SCCF chosen
    SCCF is the ICAO airport code for El Loa Airport, a commercial airport serving the city of Calama in northern Chile.
  • B. SCCR
    SCCR is the abbreviated name for Iran’s Supreme Council of the Cultural Revolution, a powerful body overseeing cultural, educational, and scientific policy in the country.
  • C. SCC
    SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
  • D. SCC
    SCC is the three-letter IATA airport code for Deadhorse Airport, which serves the Prudhoe Bay oil fields in northern Alaska.
  • E. SCC
    SCC is the abbreviated name of the SAARC Cultural Centre, an institution that promotes cultural cooperation among South Asian Association for Regional Cooperation member countries.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8a022c8190b313e9d11d38e482 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.