Triple

T6669577
Position Surface form Disambiguated ID Type / Status
Subject Orlik E151691 entity
Predicate hasFullName P16 FINISHED
Object PZL-130 Orlik E28605 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: PZL-130 Orlik | Statement: [Orlik, hasFullName, PZL-130 Orlik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PZL-130 Orlik
Context triple: [Orlik, hasFullName, PZL-130 Orlik]
  • A. PZL-130 Orlik chosen
    The PZL-130 Orlik is a Polish-designed turboprop trainer aircraft used primarily for pilot training and aerobatic display by the Polish Air Force.
  • B. PZL-104 Wilga
    The PZL-104 Wilga is a Polish short takeoff and landing (STOL) utility aircraft widely used for roles such as glider towing, parachute training, and general aviation tasks.
  • C. PZL-101 Gawron
    The PZL-101 Gawron is a Polish single-engine utility and agricultural aircraft developed in the 1950s as an improved, locally produced variant of the Soviet Yak-12.
  • D. PZL Świdnik
    PZL Świdnik is a major Polish aerospace manufacturer best known for producing helicopters and other aircraft, and is a key part of Poland’s defense and aviation industry.
  • E. PZL-Kalisz
    PZL-Kalisz is a Polish aerospace and defense manufacturer best known for producing aircraft engines and related components for both military and civilian applications.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c7d9148190b3fbb870851d917b completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723b8a5288190a2fb4d956f2dc385 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:02 p.m.