Triple

T16757248
Position Surface form Disambiguated ID Type / Status
Subject Center for Civil-Military Cooperation of the Bundeswehr E407240 entity
Predicate abbreviation P43 FINISHED
Object ZentrZMZBw
ZentrZMZBw is the German Bundeswehr’s central institution responsible for coordinating and managing civil-military cooperation in domestic and international operations.
 E1231432 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: ZentrZMZBw | Statement: [Center for Civil-Military Cooperation of the Bundeswehr, abbreviation, ZentrZMZBw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZentrZMZBw
Context triple: [Center for Civil-Military Cooperation of the Bundeswehr, abbreviation, ZentrZMZBw]
  • A. ZMB
    ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
  • B. MZBZ
    MZBZ is the ICAO airport code for Philip S. W. Goldson International Airport, the main international gateway to Belize.
  • C. Züm
    Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
  • D. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • E. ZUB
    ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways 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: ZentrZMZBw
Triple: [Center for Civil-Military Cooperation of the Bundeswehr, abbreviation, ZentrZMZBw]
Generated description
ZentrZMZBw is the German Bundeswehr’s central institution responsible for coordinating and managing civil-military cooperation in domestic and international operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZentrZMZBw
Target entity description: ZentrZMZBw is the German Bundeswehr’s central institution responsible for coordinating and managing civil-military cooperation in domestic and international operations.
  • A. ZMB
    ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
  • B. MZBZ
    MZBZ is the ICAO airport code for Philip S. W. Goldson International Airport, the main international gateway to Belize.
  • C. Züm
    Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
  • D. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • E. ZUB
    ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways 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_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.