Triple

T15956295
Position Surface form Disambiguated ID Type / Status
Subject Margarita Island E386943 entity
Predicate hasCity P316 FINISHED
Object Porlamar
Porlamar is the main commercial and tourist city on Margarita Island in northeastern Venezuela, known for its beaches, shopping, and port activities.
 E1185901 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: Porlamar | Statement: [Margarita Island, hasCity, Porlamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porlamar
Context triple: [Margarita Island, hasCity, Porlamar]
  • A. Kolona
    Kolona is an important archaeological site on the Greek island of Aegina, featuring remains from prehistoric through classical periods, including fortifications and temple structures.
  • B. Aibonito
    Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
  • C. Abataranika
    Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
  • D. San-Pédro
    San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
  • E. Paraty
    Paraty is a historic coastal town in the state of Rio de Janeiro, Brazil, renowned for its well-preserved Portuguese colonial architecture and picturesque bay.
  • 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: Porlamar
Triple: [Margarita Island, hasCity, Porlamar]
Generated description
Porlamar is the main commercial and tourist city on Margarita Island in northeastern Venezuela, known for its beaches, shopping, and port activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porlamar
Target entity description: Porlamar is the main commercial and tourist city on Margarita Island in northeastern Venezuela, known for its beaches, shopping, and port activities.
  • A. Kolona
    Kolona is an important archaeological site on the Greek island of Aegina, featuring remains from prehistoric through classical periods, including fortifications and temple structures.
  • B. Aibonito
    Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
  • C. Abataranika
    Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
  • D. San-Pédro
    San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
  • E. Paraty
    Paraty is a historic coastal town in the state of Rio de Janeiro, Brazil, renowned for its well-preserved Portuguese colonial architecture and picturesque bay.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7c8ef081908fa6da7975c271f6 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.