Triple

T27850066
Position Surface form Disambiguated ID Type / Status
Subject Election House, Riverside Office Park, Centurion E703927 entity
Predicate locatedInOfficePark P16026 FINISHED
Object Riverside Office Park
Riverside Office Park is a commercial office complex in Centurion, South Africa, housing various corporate and institutional tenants.
 E1792859 NE FINISHED

How this triple was built (3 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: Riverside Office Park | Statement: [Election House, Riverside Office Park, Centurion, locatedInOfficePark, Riverside Office Park]
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: Riverside Office Park
Triple: [Election House, Riverside Office Park, Centurion, locatedInOfficePark, Riverside Office Park]
Generated description
Riverside Office Park is a commercial office complex in Centurion, South Africa, housing various corporate and institutional tenants.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locatedInOfficePark
Context triple: [Election House, Riverside Office Park, Centurion, locatedInOfficePark, Riverside Office Park]
  • A. locatedInParkVicinity
    Indicates that an entity is situated in the area immediately surrounding or near a park.
  • B. hasBusinessPark chosen
    Indicates that one entity possesses, contains, or is associated with a business park as part of its facilities or properties.
  • C. locatedInBuildingOwnedBy
    Indicates that one entity is situated within a building that is owned by another entity.
  • D. locatedInParkLikeSetting
    Indicates that something is situated within or directly surrounded by an environment resembling a park, typically featuring natural or landscaped outdoor elements.
  • E. officeIsIn
    Indicates that one office is located within or inside another specified place or building.
  • F. None of above.

Provenance (6 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_69ef840e614c8190a88cf9638c14a265 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69ff27b125948190aced0fe0189fd39a completed May 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f73bbb688190b26d9a718a494201 completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12fb4a4a808190bc0821b2bc754da0 completed May 24, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12fd21fb2c8190b52459bd901c05a0 completed May 24, 2026, 1:29 p.m.
PD Predicate disambiguation batch_69ff26c30a0481909ef6a54ded851e42 completed May 9, 2026, 12:21 p.m.
Created at: April 27, 2026, 6:10 p.m.