Triple

T607383
Position Surface form Disambiguated ID Type / Status
Subject Menlo Park, California E12023 entity
Predicate hasPark P105 FINISHED
Object Burgess Park
Burgess Park is a central community park in Menlo Park, California, featuring sports facilities, recreational areas, and public gathering spaces.
E77781 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: Burgess Park | Statement: [Menlo Park, California, hasPark, Burgess Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burgess Park
Context triple: [Menlo Park, California, hasPark, Burgess Park]
  • A. Green Park
    Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
  • B. Fairbridge Park
    Fairbridge Park is a residential suburb of the city of Mutare in eastern Zimbabwe.
  • C. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • D. Bagshot Park
    Bagshot Park is a historic royal residence and country estate in Surrey, England, best known as the home of Prince Edward, Earl of Wessex, and his family.
  • E. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • 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: Burgess Park
Triple: [Menlo Park, California, hasPark, Burgess Park]
Generated description
Burgess Park is a central community park in Menlo Park, California, featuring sports facilities, recreational areas, and public gathering spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Burgess Park
Target entity description: Burgess Park is a central community park in Menlo Park, California, featuring sports facilities, recreational areas, and public gathering spaces.
  • A. Green Park
    Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
  • B. Fairbridge Park
    Fairbridge Park is a residential suburb of the city of Mutare in eastern Zimbabwe.
  • C. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • D. Bagshot Park
    Bagshot Park is a historic royal residence and country estate in Surrey, England, best known as the home of Prince Edward, Earl of Wessex, and his family.
  • E. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df34abc8190a578c8c2ab3d28e4 completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c40fbc81908b117bc6139507d2 completed March 2, 2026, 10:17 a.m.
NEDg Description generation batch_69a5644ac23c8190b4df2a9f96385fe0 completed March 2, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69a564c7011c81908560b563a4cad560 completed March 2, 2026, 10:21 a.m.
Created at: March 1, 2026, 7:35 p.m.