Triple

T14262517
Position Surface form Disambiguated ID Type / Status
Subject Dutch greenhouse horticulture cluster E353557 entity
Predicate hasKeyInstitution P11745 FINISHED
Object Priva
Priva is a leading Dutch company specializing in climate and process control technologies for greenhouses and sustainable building management.
 E1089936 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: Priva | Statement: [Dutch greenhouse horticulture cluster, hasKeyInstitution, Priva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Priva
Context triple: [Dutch greenhouse horticulture cluster, hasKeyInstitution, Priva]
  • A. Privas
    Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
  • B. Pris
    Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
  • C. Truhitte
    Truhitte is a surname most notably associated with American actor and singer Daniel Truhitte, known for his role as Rolfe in the film "The Sound of Music."
  • D. Praviou
    Praviou is a mountain locality in Italy’s Gran Paradiso massif known as a common trailhead for hikes and ascents in the area.
  • E. Purda
    Purda is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its traditional Warmian architecture and surrounding lakes and forests.
  • 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: Priva
Triple: [Dutch greenhouse horticulture cluster, hasKeyInstitution, Priva]
Generated description
Priva is a leading Dutch company specializing in climate and process control technologies for greenhouses and sustainable building management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Priva
Target entity description: Priva is a leading Dutch company specializing in climate and process control technologies for greenhouses and sustainable building management.
  • A. Privas
    Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
  • B. Pris
    Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
  • C. Truhitte
    Truhitte is a surname most notably associated with American actor and singer Daniel Truhitte, known for his role as Rolfe in the film "The Sound of Music."
  • D. Praviou
    Praviou is a mountain locality in Italy’s Gran Paradiso massif known as a common trailhead for hikes and ascents in the area.
  • E. Purda
    Purda is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its traditional Warmian architecture and surrounding lakes and forests.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de63563fc88190b0abdbf8529c65eb completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326367348190b4b31b32f4ca5639 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd335a496881908689b5769bb677ae completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd3445422c8190a22eaa4bef5fdf76 completed May 8, 2026, 12:54 a.m.
Created at: April 10, 2026, 1:09 a.m.