Triple

T16074055
Position Surface form Disambiguated ID Type / Status
Subject Maplewood, Portland E389937 entity
Predicate hasRecreationArea P5383 FINISHED
Object Maplewood Park
Maplewood Park is a neighborhood green space in Portland’s Maplewood area, offering residents outdoor recreation and community gathering areas.
E1195273 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: Maplewood Park | Statement: [Maplewood, Portland, hasRecreationArea, Maplewood Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maplewood Park
Context triple: [Maplewood, Portland, hasRecreationArea, Maplewood Park]
  • A. Maplewood Park
    Maplewood Park is a public recreational park located in Georgetown Township, Michigan.
  • B. Maplewood
    Maplewood is a small rural village located on Wisconsin’s scenic Door Peninsula.
  • C. Maplecrest Park
    Maplecrest Park is a public recreational park located in the township of Maplewood, New Jersey.
  • D. Kirkwood Park
    Kirkwood Park is a major public recreational park in Kirkwood, Missouri, featuring green spaces, sports facilities, and community amenities for residents and visitors.
  • E. Valley Park
    Valley Park is a public recreational park located in Grandview, Missouri.
  • 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: Maplewood Park
Triple: [Maplewood, Portland, hasRecreationArea, Maplewood Park]
Generated description
Maplewood Park is a neighborhood green space in Portland’s Maplewood area, offering residents outdoor recreation and community gathering areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maplewood Park
Target entity description: Maplewood Park is a neighborhood green space in Portland’s Maplewood area, offering residents outdoor recreation and community gathering areas.
  • A. Maplewood Park
    Maplewood Park is a public recreational park located in Georgetown Township, Michigan.
  • B. Maplewood
    Maplewood is a small rural village located on Wisconsin’s scenic Door Peninsula.
  • C. Maplecrest Park
    Maplecrest Park is a public recreational park located in the township of Maplewood, New Jersey.
  • D. Kirkwood Park
    Kirkwood Park is a major public recreational park in Kirkwood, Missouri, featuring green spaces, sports facilities, and community amenities for residents and visitors.
  • E. Valley Park
    Valley Park is a public recreational park located in Grandview, Missouri.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c0390c8190b0da263cccec14e5 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff299f14c8190a5f88754b6a78b1f completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3478bfc8190bbcc0afbf6dbb089 completed May 10, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fff3d29f50819093a9355d016f48dd completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 4:57 a.m.