Triple

T16353287
Position Surface form Disambiguated ID Type / Status
Subject Polska Grupa Zbrojeniowa E397110 entity
Predicate shortName P43 FINISHED
Object PGZ
PGZ is a major Polish state-owned defense holding company that consolidates much of Poland’s arms and military equipment industry.
 E1208773 NE FINISHED

How this triple was built (4 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: PGZ | Statement: [Polska Grupa Zbrojeniowa, shortName, PGZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PGZ
Context triple: [Polska Grupa Zbrojeniowa, shortName, PGZ]
  • A. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • B. TGPZ
    TGPZ is the ICAO airport code for Pearls Airport, a former international airport on the island of Grenada in the Caribbean.
  • C. PZ
    PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • D. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • E. PZ
    PZ is the station code for Prinzregentenplatz, a Munich U-Bahn station on the city’s rapid transit network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PGZ
Triple: [Polska Grupa Zbrojeniowa, shortName, PGZ]
Generated description
PGZ is a major Polish state-owned defense holding company that consolidates much of Poland’s arms and military equipment industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PGZ
Target entity description: PGZ is a major Polish state-owned defense holding company that consolidates much of Poland’s arms and military equipment industry.
  • A. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • B. TGPZ
    TGPZ is the ICAO airport code for Pearls Airport, a former international airport on the island of Grenada in the Caribbean.
  • C. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • D. PZ
    PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • E. PZ
    PZ is the station code for Prinzregentenplatz, a Munich U-Bahn station on the city’s rapid transit network.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2faccab748190b11e0808e422f2ea completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db841dc8190bfe8a0d8fca1b309 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f46da5c81909c6e726fe89a3f81 completed May 10, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a003063fd748190ba42c55b008202fc completed May 10, 2026, 7:14 a.m.
Created at: April 10, 2026, 5:07 a.m.