Triple
T6669593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlik |
E151691
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | PZL-130TC-II Advanced |
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-130TC-II Advanced | Statement: [Orlik, hasVariant, PZL-130TC-II Advanced]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PZL-130TC-II Advanced Context triple: [Orlik, hasVariant, PZL-130TC-II Advanced]
-
A.
PZL-Hydral
PZL-Hydral is a Polish aerospace and defense company known for producing hydraulic and fuel systems and other components for military and civil aircraft.
-
B.
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.
-
C.
PZL-110 Koliberek
The PZL-110 Koliberek is a Polish light training and utility aircraft developed in the 1970s by PZL Warszawa-Okęcie.
-
D.
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.
-
E.
Aero L-159 ALCA
The Aero L-159 ALCA is a Czech-built light combat and advanced jet trainer aircraft designed for close air support, reconnaissance, and pilot training roles.
- 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_69c751058e808190b3f9e7f9e5f68327 |
completed | March 28, 2026, 3:54 a.m. |
Created at: March 27, 2026, 2:02 p.m.