Triple

T10909311
Position Surface form Disambiguated ID Type / Status
Subject UIO E257651 entity
Predicate associatedWithICAOCode P419 FINISHED
Object SEQM E257652 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: SEQM | Statement: [UIO, associatedWithICAOCode, SEQM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEQM
Context triple: [UIO, associatedWithICAOCode, SEQM]
  • A. SEQM chosen
    SEQM is the ICAO airport code for Mariscal Sucre International Airport, the main international gateway serving Quito, Ecuador.
  • B. RSEQ
    RSEQ is the governing body that organizes and oversees student sports and athletic competitions across Quebec’s educational institutions.
  • C. SQ
    SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
  • D. SQ
    SQ is the commonly used abbreviation for Stadiums Queensland, the government agency responsible for managing major sports and entertainment venues in Queensland, Australia.
  • E. SQ
    SQ is the stock ticker symbol for Block, Inc. (formerly Square, Inc.), a major American financial technology company known for its payment processing and digital financial services.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77068e5488190bbc881ebf51d6b2e completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.