Triple

T649642
Position Surface form Disambiguated ID Type / Status
Subject CAPTOR radar E11316 entity
Predicate industryConsortium P17729 FINISHED
Object Euroradar E81228 NE FINISHED

How this triple was built (3 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: Euroradar | Statement: [CAPTOR radar, industryConsortium, Euroradar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euroradar
Context triple: [CAPTOR radar, industryConsortium, Euroradar]
  • A. Euroradar consortium chosen
    The Euroradar consortium is a multinational industrial partnership responsible for designing and producing advanced airborne radar systems for modern fighter aircraft.
  • B. Würzburg radar
    Würzburg radar was a German World War II ground-based radar system primarily used for directing anti-aircraft artillery and night-fighter defenses.
  • C. Freya radar
    Freya radar was an early German ground-based radar system used extensively for air defense during World War II.
  • D. Baader
    Baader is a surname of German origin borne by various notable individuals in fields such as philosophy, theology, and activism.
  • E. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: industryConsortium
Context triple: [CAPTOR radar, industryConsortium, Euroradar]
  • A. industryCenter
    Indicates that a location functions as a primary hub or focal point for industrial activity or production.
  • B. industryEvent
    Indicates that an event is related to a specific industry, such as a conference, trade show, or professional gathering focused on that industry.
  • C. industryStandardFor
    Indicates that something is widely accepted or recognized as the conventional or benchmark practice, specification, or norm within a particular industry.
  • D. foundingIndustry
    Indicates the industry or sector in which an entity was originally founded or began its primary operations.
  • E. isPartOfEconomicCluster
    Indicates that an entity belongs to, or is included within, a larger economic cluster or grouping based on economic relationships or activities.
  • F. None of above. chosen

Provenance (5 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f31e70c81909a2ac1d939f7ec07 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a716de88190854e13fb5143b9b3 completed March 2, 2026, 1:02 p.m.
PD Predicate disambiguation batch_69a49d0eade081909c47e85ed55f808d completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49df0de3c81909721eb391ec94031 completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:36 p.m.