Triple

T9733257
Position Surface form Disambiguated ID Type / Status
Subject Paraw Regatta Festival E235995 entity
Predicate relatedTo P37 FINISHED
Object paraw
A paraw is a traditional Filipino double-outrigger sailboat, especially associated with sailing and racing in the Visayan region.
 E818515 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: paraw | Statement: [Paraw Regatta Festival, relatedTo, paraw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: paraw
Context triple: [Paraw Regatta Festival, relatedTo, paraw]
  • A. Parap
    Parap is an inner-city suburb of Darwin in Australia's Northern Territory, known for its popular weekend markets and tropical, laid-back atmosphere.
  • B. Parag
    Parag is a given name most notably associated with Parag Agrawal, the former CEO of Twitter.
  • C. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • D. Parl
    Parl is the commonly used abbreviation for the Parliament of Singapore, the country's unicameral legislative body.
  • E. PAWO
    PAWO is a continental organization that unites and advocates for African women’s rights, empowerment, and liberation across Africa.
  • 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: paraw
Triple: [Paraw Regatta Festival, relatedTo, paraw]
Generated description
A paraw is a traditional Filipino double-outrigger sailboat, especially associated with sailing and racing in the Visayan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: paraw
Target entity description: A paraw is a traditional Filipino double-outrigger sailboat, especially associated with sailing and racing in the Visayan region.
  • A. Parap
    Parap is an inner-city suburb of Darwin in Australia's Northern Territory, known for its popular weekend markets and tropical, laid-back atmosphere.
  • B. Parag
    Parag is a given name most notably associated with Parag Agrawal, the former CEO of Twitter.
  • C. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • D. Parl
    Parl is the commonly used abbreviation for the Parliament of Singapore, the country's unicameral legislative body.
  • E. PAWO
    PAWO is a continental organization that unites and advocates for African women’s rights, empowerment, and liberation across Africa.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb54fe481908b0202f104b75dc1 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afc4dcc4819096d29c1a0529d272 completed April 5, 2026, 12:41 a.m.
NEDg Description generation batch_69d1b06d39b48190adaadbc81b4ffb9a completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1511c7c8190ba7bc691ab2d3a13 completed April 5, 2026, 12:48 a.m.
Created at: March 30, 2026, 8:22 p.m.