Triple

T1750260
Position Surface form Disambiguated ID Type / Status
Subject Freya radar E38422 entity
Predicate integratedWith P2830 FINISHED
Object Würzburg radar E38881 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: Würzburg radar | Statement: [Freya radar, integratedWith, Würzburg radar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Würzburg radar
Context triple: [Freya radar, integratedWith, Würzburg radar]
  • A. Würzburg radar chosen
    Würzburg radar was a German World War II ground-based radar system primarily used for directing anti-aircraft artillery and night-fighter defenses.
  • B. Freya radar
    Freya radar was an early German ground-based radar system used extensively for air defense during World War II.
  • C. Hensoldt
    Hensoldt is a German defense and security electronics company specializing in advanced sensor solutions such as radars, optronics, and electronic warfare systems.
  • D. ALTAIR radar
    ALTAIR radar is a powerful tracking and surveillance radar system located on Kwajalein Atoll, used primarily for space object tracking and missile defense research.
  • E. APY-10 multi-mission surface search radar
    The APY-10 multi-mission surface search radar is an advanced maritime surveillance and targeting radar system used on platforms like the Boeing P-8 Poseidon for detecting, tracking, and classifying surface and subsurface contacts in all weather conditions.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64108a208190ae7190065818e42c completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada989b368819098b788d099f2f8e4 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.