Triple

T10707818
Position Surface form Disambiguated ID Type / Status
Subject San Juan, Trinidad and Tobago E252451 entity
Predicate nearbySettlement P350 FINISHED
Object Laventille
Laventille is an urban community in Port of Spain, Trinidad and Tobago, known for its dense hillside neighborhoods and significant cultural and musical contributions, particularly to steelpan music.
 E880467 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: Laventille | Statement: [San Juan, Trinidad and Tobago, nearbySettlement, Laventille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laventille
Context triple: [San Juan, Trinidad and Tobago, nearbySettlement, Laventille]
  • A. Vaila
    Vaila is a small settlement located within Harku Parish in northern Estonia.
  • B. Rolava
    Rolava is a river in the Czech Republic that flows through the Ore Mountains region before joining the Ohře River.
  • C. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • D. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • E. Lavant
    Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
  • 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: Laventille
Triple: [San Juan, Trinidad and Tobago, nearbySettlement, Laventille]
Generated description
Laventille is an urban community in Port of Spain, Trinidad and Tobago, known for its dense hillside neighborhoods and significant cultural and musical contributions, particularly to steelpan music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laventille
Target entity description: Laventille is an urban community in Port of Spain, Trinidad and Tobago, known for its dense hillside neighborhoods and significant cultural and musical contributions, particularly to steelpan music.
  • A. Vaila
    Vaila is a small settlement located within Harku Parish in northern Estonia.
  • B. Rolava
    Rolava is a river in the Czech Republic that flows through the Ore Mountains region before joining the Ohře River.
  • C. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • D. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • E. Lavant
    Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8632688190b3746649a124ca09 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69da625a1e8c8190b282e7a70bb7c876 completed April 11, 2026, 3:01 p.m.
Created at: April 8, 2026, 9:13 p.m.