Triple

T10707802
Position Surface form Disambiguated ID Type / Status
Subject San Juan, Trinidad and Tobago E252451 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Aranguez
Aranguez is a residential and commercial neighborhood in the San Juan–Laventille region of Trinidad and Tobago, known for its agricultural lands and proximity to Port of Spain.
E880464 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: Aranguez | Statement: [San Juan, Trinidad and Tobago, hasNeighbourhood, Aranguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aranguez
Context triple: [San Juan, Trinidad and Tobago, hasNeighbourhood, Aranguez]
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • C. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • D. Argüello
    Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
  • E. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • 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: Aranguez
Triple: [San Juan, Trinidad and Tobago, hasNeighbourhood, Aranguez]
Generated description
Aranguez is a residential and commercial neighborhood in the San Juan–Laventille region of Trinidad and Tobago, known for its agricultural lands and proximity to Port of Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aranguez
Target entity description: Aranguez is a residential and commercial neighborhood in the San Juan–Laventille region of Trinidad and Tobago, known for its agricultural lands and proximity to Port of Spain.
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • C. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • D. Argüello
    Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
  • E. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • 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.