Triple

T18803791
Position Surface form Disambiguated ID Type / Status
Subject German Energy Industry Act E459820 entity
Predicate shortName P43 FINISHED
Object EnWG
EnWG is the commonly used abbreviation for the German Energy Industry Act, the central legal framework governing the operation and regulation of energy supply in Germany.
 E1342922 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: EnWG | Statement: [German Energy Industry Act, shortName, EnWG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EnWG
Context triple: [German Energy Industry Act, shortName, EnWG]
  • A. EWN
    EWN is the station code for East Williston station on the Long Island Rail Road in Nassau County, New York.
  • B. EWN
    EWN is the three-letter IATA airport code for Coastal Carolina Regional Airport in New Bern, North Carolina.
  • C. E.N.G.
    E.N.G. is a Canadian television drama series that follows the personal and professional lives of staff at a fictional Toronto television news station.
  • D. WEOG
    WEOG is the United Nations’ regional group for Western European and other like-minded states, used primarily for consultations and the allocation of seats in UN bodies.
  • E. 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.
  • 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: EnWG
Triple: [German Energy Industry Act, shortName, EnWG]
Generated description
EnWG is the commonly used abbreviation for the German Energy Industry Act, the central legal framework governing the operation and regulation of energy supply in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EnWG
Target entity description: EnWG is the commonly used abbreviation for the German Energy Industry Act, the central legal framework governing the operation and regulation of energy supply in Germany.
  • A. EWN
    EWN is the station code for East Williston station on the Long Island Rail Road in Nassau County, New York.
  • B. EWN
    EWN is the three-letter IATA airport code for Coastal Carolina Regional Airport in New Bern, North Carolina.
  • C. E.N.G.
    E.N.G. is a Canadian television drama series that follows the personal and professional lives of staff at a fictional Toronto television news station.
  • D. WEOG
    WEOG is the United Nations’ regional group for Western European and other like-minded states, used primarily for consultations and the allocation of seats in UN bodies.
  • E. 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.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a025faf48190be07086071df5b34 completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a054725edbc819099ad8200394653ec completed May 14, 2026, 3:53 a.m.
NEDg Description generation batch_6a054828f894819093b66caebaf0399d completed May 14, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0548f1ed74819090775763f4976a1a completed May 14, 2026, 4 a.m.
Created at: April 10, 2026, 11:53 a.m.