Triple

T10584819
Position Surface form Disambiguated ID Type / Status
Subject Uptown, Chicago E249827 entity
Predicate contains P35 FINISHED
Object Clarendon Park
Clarendon Park is a public park and community recreation area located in Chicago’s Uptown neighborhood.
E873179 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: Clarendon Park | Statement: [Uptown, Chicago, contains, Clarendon Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarendon Park
Context triple: [Uptown, Chicago, contains, Clarendon Park]
  • A. Courtland Park
    Courtland Park is a public recreational park located in Reidsville, North Carolina.
  • B. Stonebridge Park
    Stonebridge Park is a London Overground and Underground railway station in north-west London, serving the Stonebridge area near Wembley.
  • C. Malvern Park
    Malvern Park is a public green space in Solihull, England, known for its landscaped gardens, recreational facilities, and community events.
  • D. Devonshire Park
    Devonshire Park is a public green space and recreational park located in the town of Keighley in West Yorkshire, England.
  • E. Langley Park
    Langley Park is a large riverside public park in central Perth, Western Australia, known for its open lawns, events, and views over the Swan River.
  • 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: Clarendon Park
Triple: [Uptown, Chicago, contains, Clarendon Park]
Generated description
Clarendon Park is a public park and community recreation area located in Chicago’s Uptown neighborhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clarendon Park
Target entity description: Clarendon Park is a public park and community recreation area located in Chicago’s Uptown neighborhood.
  • A. Courtland Park
    Courtland Park is a public recreational park located in Reidsville, North Carolina.
  • B. Stonebridge Park
    Stonebridge Park is a London Overground and Underground railway station in north-west London, serving the Stonebridge area near Wembley.
  • C. Malvern Park
    Malvern Park is a public green space in Solihull, England, known for its landscaped gardens, recreational facilities, and community events.
  • D. Devonshire Park
    Devonshire Park is a public green space and recreational park located in the town of Keighley in West Yorkshire, England.
  • E. Langley Park
    Langley Park is a large riverside public park in central Perth, Western Australia, known for its open lawns, events, and views over the Swan River.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52768da9c8190add1db88bf2e16ea completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b820330819090ed70c6ba29b5c2 completed April 10, 2026, 7:12 p.m.
NEDg Description generation batch_69d94d67e16481908efb939a3e65004c completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d95227a1f48190ab847606a9ae0500 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:39 p.m.