Triple

T19024183
Position Surface form Disambiguated ID Type / Status
Subject SAA E465565 entity
Predicate abbreviation P43 FINISHED
Object SAA 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: SAA | Statement: [SAA, abbreviation, SAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAA
Context triple: [SAA, abbreviation, SAA]
  • A. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • B. SAA
    SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
  • C. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • D. SAAV
    SAAV is the ICAO airport code for Sauce Viejo Airport, which serves the Santa Fe region in Argentina.
  • E. SAAU
    SAAU is the abbreviated name for the State Aviation Administration of Ukraine, the national authority responsible for regulating and overseeing civil aviation in Ukraine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6e166088190937ef19739437f7c completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.