Triple

T2380157
Position Surface form Disambiguated ID Type / Status
Subject Leibniz Association E46292 entity
Predicate abbreviation P43 FINISHED
Object WGL
WGL is the common abbreviation for the Leibniz Association, a major German network of non-university research institutes spanning a wide range of scientific disciplines.
 E260171 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: WGL | Statement: [Leibniz Association, abbreviation, WGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WGL
Context triple: [Leibniz Association, abbreviation, WGL]
  • A. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • B. GLC
    The GLC is a compact luxury crossover SUV produced by Mercedes-Benz, positioned as one of the brand’s core premium utility vehicles.
  • C. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • D. WLM
    WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
  • E. GWE
    GWE is a Polish vehicle registration code assigned to the Wejherowo County area in the Pomeranian Voivodeship.
  • 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: WGL
Triple: [Leibniz Association, abbreviation, WGL]
Generated description
WGL is the common abbreviation for the Leibniz Association, a major German network of non-university research institutes spanning a wide range of scientific disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WGL
Target entity description: WGL is the common abbreviation for the Leibniz Association, a major German network of non-university research institutes spanning a wide range of scientific disciplines.
  • A. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • B. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • C. GLC
    The GLC is a compact luxury crossover SUV produced by Mercedes-Benz, positioned as one of the brand’s core premium utility vehicles.
  • D. WLM
    WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
  • E. GWE
    GWE is a Polish vehicle registration code assigned to the Wejherowo County area in the Pomeranian Voivodeship.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b60c8c819080e4f682e4362a93 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8b23680819085e0c7da7b4da9e1 completed March 9, 2026, 11:02 a.m.
NEDg Description generation batch_69aea9a79c6081908706f9f1ca0d6c4d completed March 9, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69aeaa12f3d88190b2a1dcc48817bae7 completed March 9, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:57 p.m.