Triple

T1975465
Position Surface form Disambiguated ID Type / Status
Subject Walney Wind Farm E42899 entity
Predicate owner P347 FINISHED
Object PGGM
PGGM is a Dutch pension fund service provider and institutional investor known for its significant investments in sustainable infrastructure and renewable energy projects.
 E222423 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: PGGM | Statement: [Walney Wind Farm, owner, PGGM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PGGM
Context triple: [Walney Wind Farm, owner, PGGM]
  • A. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • B. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • C. PGUM
    PGUM is the ICAO airport code for Antonio B. Won Pat International Airport, the primary commercial airport serving Guam.
  • D. QGM
    QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
  • E. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • 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: PGGM
Triple: [Walney Wind Farm, owner, PGGM]
Generated description
PGGM is a Dutch pension fund service provider and institutional investor known for its significant investments in sustainable infrastructure and renewable energy projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PGGM
Target entity description: PGGM is a Dutch pension fund service provider and institutional investor known for its significant investments in sustainable infrastructure and renewable energy projects.
  • A. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • B. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • C. PGUM
    PGUM is the ICAO airport code for Antonio B. Won Pat International Airport, the primary commercial airport serving Guam.
  • D. QGM
    QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
  • E. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f835108190b0709ccf3a487a96 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0327600c8190adb057b596a84bca completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03b41dcc81909b4439006bdffc64 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae044314188190a7472cf5f8e89f6c completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:36 p.m.