Triple

T9692164
Position Surface form Disambiguated ID Type / Status
Subject A-50 AWACS E234561 entity
Predicate radarType P6751 FINISHED
Object Liana radar E589148 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: Liana radar | Statement: [A-50 AWACS, radarType, Liana radar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liana radar
Context triple: [A-50 AWACS, radarType, Liana radar]
  • A. Liana radar chosen
    Liana radar is an airborne early warning and control radar system used on the Russian Beriev A-50 aircraft to detect, track, and manage aerial and surface targets.
  • B. Erieye radar
    The Erieye radar is a Swedish airborne early warning and control (AEW&C) radar system known for its active electronically scanned array (AESA) technology and long-range surveillance capabilities.
  • C. Radar
    Radar is the nickname of American professional golfer Michael Reid, known for his accuracy and steady play on the PGA Tour.
  • D. Freya radar
    Freya radar was an early German ground-based radar system used extensively for air defense during World War II.
  • E. Cobra Dane radar
    The Cobra Dane radar is a large, phased-array early warning and tracking radar system used by the United States for long-range detection and tracking of ballistic missiles and space objects.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d05d70c8190b1ddcd24b50b4f50 completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911d33f081908637cbf4c1949bcd completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:17 p.m.