Triple

T20832038
Position Surface form Disambiguated ID Type / Status
Subject IrAero E512852 entity
Predicate callsign P1565 FINISHED
Object IR-AERO 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: IR-AERO | Statement: [IrAero, callsign, IR-AERO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IR-AERO
Context triple: [IrAero, callsign, IR-AERO]
  • A. IrAero chosen
    IrAero is a Russian regional airline that operates passenger and cargo flights across Siberia, the Russian Far East, and neighboring countries.
  • B. IRIAF
    IRIAF is the acronym for the Islamic Republic of Iran Air Force, the aerial warfare branch of Iran’s armed forces.
  • C. Institute of Aerospace Technologies
    The Institute of Aerospace Technologies is a research and teaching center at the University of Malta focused on advancing aerospace engineering, aviation systems, and related technologies.
  • D. IRIA
    IRIA (Institut de Recherche en Informatique et en Automatique) was the original French national research institute for computer science and automation, later becoming INRIA, and played a key role in early networking and informatics research.
  • E. AIRS
    AIRS (Atmospheric Infrared Sounder) is a satellite instrument on NASA’s Aqua spacecraft that measures Earth’s atmospheric temperature, humidity, and trace gases using infrared spectroscopy.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3224e788190bfc4d3dcbaa674a7 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.