Triple

T9409735
Position Surface form Disambiguated ID Type / Status
Subject Dollymount Strand E226673 entity
Predicate near P350 FINISHED
Object St Anne’s Park
St Anne’s Park is a large public park in Dublin, Ireland, known for its extensive woodlands, rose gardens, and recreational amenities.
 E797941 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: St Anne’s Park | Statement: [Dollymount Strand, near, St Anne’s Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: St Anne’s Park
Context triple: [Dollymount Strand, near, St Anne’s Park]
  • A. Owen Bell Park
    Owen Bell Park is a public recreational park located in the town of Killingly in northeastern Connecticut.
  • B. All Saints Park
    All Saints Park is a small urban green space in central Manchester, commonly used by students and locals as a quiet retreat amid the busy Oxford Road corridor.
  • C. Barlow Park
    Barlow Park is a public recreational park located in the city of Ripon in central Wisconsin.
  • D. Bayliss Park
    Bayliss Park is a historic central public park and community gathering space located in downtown Council Bluffs, Iowa.
  • E. St. Mary’s Park
    St. Mary’s Park is a public green space in the Bronx known for its athletic fields, playgrounds, and community recreation facilities.
  • 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: St Anne’s Park
Triple: [Dollymount Strand, near, St Anne’s Park]
Generated description
St Anne’s Park is a large public park in Dublin, Ireland, known for its extensive woodlands, rose gardens, and recreational amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: St Anne’s Park
Target entity description: St Anne’s Park is a large public park in Dublin, Ireland, known for its extensive woodlands, rose gardens, and recreational amenities.
  • A. Owen Bell Park
    Owen Bell Park is a public recreational park located in the town of Killingly in northeastern Connecticut.
  • B. All Saints Park
    All Saints Park is a small urban green space in central Manchester, commonly used by students and locals as a quiet retreat amid the busy Oxford Road corridor.
  • C. Barlow Park
    Barlow Park is a public recreational park located in the city of Ripon in central Wisconsin.
  • D. Bayliss Park
    Bayliss Park is a historic central public park and community gathering space located in downtown Council Bluffs, Iowa.
  • E. St. Mary’s Park
    St. Mary’s Park is a public green space in the Bronx known for its athletic fields, playgrounds, and community recreation facilities.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5255e4fc81908bf2f69c9a12ef83 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a5fcc081909a2d743e9673fe9e completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1083039948190b32f8854b31f53c2 completed April 4, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d108dbc1948190967c56ad877659cb completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:47 p.m.