Triple

T3973260
Position Surface form Disambiguated ID Type / Status
Subject Working Group on Evaluations and Compliance E92381 entity
Predicate shortName P43 FINISHED
Object WGE
WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
E403026 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: WGE | Statement: [Working Group on Evaluations and Compliance, shortName, WGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WGE
Context triple: [Working Group on Evaluations and Compliance, shortName, WGE]
  • A. GWE
    GWE is a Polish vehicle registration code assigned to the Wejherowo County area in the Pomeranian Voivodeship.
  • B. WGS
    WGS is the abbreviated name of Warriors Gaming Squad, an esports team competing in the NBA 2K League.
  • C. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • D. WPG
    WPG is the standard three-letter abbreviation used for the NHL’s Winnipeg Jets franchise.
  • E. GWI
    GWI is the National Rail station code for Greenwich railway station in London, England.
  • 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: WGE
Triple: [Working Group on Evaluations and Compliance, shortName, WGE]
Generated description
WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WGE
Target entity description: WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
  • A. GWE
    GWE is a Polish vehicle registration code assigned to the Wejherowo County area in the Pomeranian Voivodeship.
  • B. WGS
    WGS is the abbreviated name of Warriors Gaming Squad, an esports team competing in the NBA 2K League.
  • C. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • D. WPG
    WPG is the standard three-letter abbreviation used for the NHL’s Winnipeg Jets franchise.
  • E. GWI
    GWI is the National Rail station code for Greenwich railway station in London, England.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef99837cc8190b8b2464707f5e334 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540139c2c819080aa19b13540c76a completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b540eb53788190aa281ee38edc1729 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b541a6bf048190aeedc675e3253388 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:32 p.m.