Triple

T25742750
Position Surface form Disambiguated ID Type / Status
Subject Ewloe E648261 entity
Predicate hasNearbyBusinessPark P19783 FINISHED
Object St David’s Park
St David’s Park is a modern business park located near Ewloe in Flintshire, North Wales, hosting a range of corporate offices and commercial facilities.
 E1695262 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: St David’s Park | Statement: [Ewloe, hasNearbyBusinessPark, St David’s 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: St David’s Park
Triple: [Ewloe, hasNearbyBusinessPark, St David’s Park]
Generated description
St David’s Park is a modern business park located near Ewloe in Flintshire, North Wales, hosting a range of corporate offices and commercial facilities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyBusinessPark
Context triple: [Ewloe, hasNearbyBusinessPark, St David’s Park]
  • A. hasBusinessPark
    Indicates that one entity possesses, contains, or is associated with a business park as part of its facilities or properties.
  • B. hasMajorCompanyNearby
    Indicates that a location or entity is situated close to at least one large or significant company.
  • C. nearRetailPark
    Indicates that one entity is located close to or in the immediate vicinity of a retail park.
  • D. hasNearbyLandUse chosen
    Indicates that one land area is located close to another area characterized by a specific type of land use.
  • E. isNeighborhoodParkOf
    Indicates that a park is located within and serves as a local recreational area for a specific neighborhood.
  • 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_69e7ab306eec8190b05c312c6ab186b8 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc07ad188190882170696e347322 completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10cfdb3eac8190ad106e3ba2da8576 completed May 22, 2026, 9:51 p.m.
NED2 Entity disambiguation (via description) batch_6a10d043b16c8190945134dd13a83769 completed May 22, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 22, 2026, 3:46 a.m.