Triple

T7515200
Position Surface form Disambiguated ID Type / Status
Subject Cole Park E177621 entity
Predicate name P16 FINISHED
Object Cole Park
Cole Park is a public recreational area, typically featuring open green spaces and outdoor amenities for community use.
 E177621 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: Cole Park | Statement: [Cole Park, name, Cole Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cole Park
Context triple: [Cole Park, name, Cole Park]
  • A. Cole Park
    Cole Park is a popular waterfront recreational area in Corpus Christi, Texas, featuring green spaces, a fishing pier, playgrounds, and scenic views of Corpus Christi Bay.
  • B. Cole Park
    Cole Park is a popular scenic park and recreational spot in Tezpur, Assam, known for its landscaped gardens, cultural displays, and family-friendly atmosphere.
  • C. Dean Park
    Dean Park is a public recreational park located in Shrewsbury, Massachusetts, offering outdoor green space and community amenities.
  • D. Kay Park
    Kay Park is a public park in Kilmarnock, Scotland, known for its landscaped grounds, recreational spaces, and historical monuments.
  • E. Philip Ahn
    Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
  • 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: Cole Park
Triple: [Cole Park, name, Cole Park]
Generated description
Cole Park is a public recreational area, typically featuring open green spaces and outdoor amenities for community use.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cole Park
Target entity description: Cole Park is a public recreational area, typically featuring open green spaces and outdoor amenities for community use.
  • A. Cole Park chosen
    Cole Park is a popular scenic park and recreational spot in Tezpur, Assam, known for its landscaped gardens, cultural displays, and family-friendly atmosphere.
  • B. Cole Park
    Cole Park is a popular waterfront recreational area in Corpus Christi, Texas, featuring green spaces, a fishing pier, playgrounds, and scenic views of Corpus Christi Bay.
  • C. Dean Park
    Dean Park is a public recreational park located in Shrewsbury, Massachusetts, offering outdoor green space and community amenities.
  • D. Kay Park
    Kay Park is a public park in Kilmarnock, Scotland, known for its landscaped grounds, recreational spaces, and historical monuments.
  • E. Philip Ahn
    Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
  • F. None of above.

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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f44dd48190b2b093aab9a196c8 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461d4dbc8190b921666fa3524921 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c8471da6c481909b48db7ad6e9426d completed March 28, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c848026e90819098d0b419101f91e1 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:45 p.m.