Triple

T16757567
Position Surface form Disambiguated ID Type / Status
Subject Zentrum Operative Kommunikation der Bundeswehr E407247 entity
Predicate hasAbbreviation P43 FINISHED
Object ZOpKomBw
ZOpKomBw is the German Bundeswehr’s central unit responsible for planning and conducting operational communication and information campaigns.
 E1231437 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: ZOpKomBw | Statement: [Zentrum Operative Kommunikation der Bundeswehr, hasAbbreviation, ZOpKomBw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZOpKomBw
Context triple: [Zentrum Operative Kommunikation der Bundeswehr, hasAbbreviation, ZOpKomBw]
  • A. OPZB
    OPZB is the ICAO airport code for Zhob Airport, a regional airport serving the city of Zhob in Balochistan, Pakistan.
  • B. ZK
    ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
  • C. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • D. ZBO
    ZBO is a Dutch semi-autonomous public authority that performs specific government tasks at arm’s length from direct ministerial control.
  • E. ZBA
    ZBA is the National Rail station code assigned to Bank Underground station in London.
  • 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: ZOpKomBw
Triple: [Zentrum Operative Kommunikation der Bundeswehr, hasAbbreviation, ZOpKomBw]
Generated description
ZOpKomBw is the German Bundeswehr’s central unit responsible for planning and conducting operational communication and information campaigns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZOpKomBw
Target entity description: ZOpKomBw is the German Bundeswehr’s central unit responsible for planning and conducting operational communication and information campaigns.
  • A. OPZB
    OPZB is the ICAO airport code for Zhob Airport, a regional airport serving the city of Zhob in Balochistan, Pakistan.
  • B. ZK
    ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
  • C. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • D. ZBO
    ZBO is a Dutch semi-autonomous public authority that performs specific government tasks at arm’s length from direct ministerial control.
  • E. ZBA
    ZBA is the National Rail station code assigned to Bank Underground station in London.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abe94cc0819099b05cd205d368c5 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52886e48190b7a1e6fccd9a5709 completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a5e1eea8819088553ac6673e9b1c completed May 10, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a00a68b92b48190865ddd477a8ba1c6 completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.