Triple

T17858314
Position Surface form Disambiguated ID Type / Status
Subject Waikiki surf zone E445997 entity
Predicate hasSurfBreak P22583 FINISHED
Object Threes
Threes is a well-known, mellow surf break in Waikiki popular for its long, rideable waves suitable for a range of skill levels.
E1292814 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: Threes | Statement: [Waikiki surf zone, hasSurfBreak, Threes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Threes
Context triple: [Waikiki surf zone, hasSurfBreak, Threes]
  • A. Threes!
    Threes! is a critically acclaimed minimalist puzzle game in which players slide numbered tiles on a grid to combine matching values and achieve increasingly higher numbers.
  • B. Sum It Up
    Sum It Up is the memoir of legendary basketball coach Pat Summitt, chronicling her life, career, and impact on women's sports.
  • C. Matho
    Matho is a passionate and tragic Libyan mercenary leader in Gustave Flaubert’s historical novel "Salammbô."
  • D. Values of the Game
    Values of the Game is a reflective book by former U.S. senator and NBA player Bill Bradley that uses basketball stories to explore character, ethics, and life lessons.
  • E. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • 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: Threes
Triple: [Waikiki surf zone, hasSurfBreak, Threes]
Generated description
Threes is a well-known, mellow surf break in Waikiki popular for its long, rideable waves suitable for a range of skill levels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Threes
Target entity description: Threes is a well-known, mellow surf break in Waikiki popular for its long, rideable waves suitable for a range of skill levels.
  • A. Threes!
    Threes! is a critically acclaimed minimalist puzzle game in which players slide numbered tiles on a grid to combine matching values and achieve increasingly higher numbers.
  • B. Sum It Up
    Sum It Up is the memoir of legendary basketball coach Pat Summitt, chronicling her life, career, and impact on women's sports.
  • C. Matho
    Matho is a passionate and tragic Libyan mercenary leader in Gustave Flaubert’s historical novel "Salammbô."
  • D. Values of the Game
    Values of the Game is a reflective book by former U.S. senator and NBA player Bill Bradley that uses basketball stories to explore character, ethics, and life lessons.
  • E. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978e68ec8190a4306f7b7bb058d7 completed April 19, 2026, 8:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c640bb881909fea3f07e5a30f7a completed May 12, 2026, 11:17 a.m.
NEDg Description generation batch_6a03102824a081909f7e6253f067f9ec completed May 12, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0310bc396881908988dd6e776ecc23 completed May 12, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:17 a.m.