Triple

T2274103
Position Surface form Disambiguated ID Type / Status
Subject Guayas Province E50728 entity
Predicate contains P35 FINISHED
Object Santa Lucía
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
 E250936 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: Santa Lucía | Statement: [Guayas Province, contains, Santa Lucía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santa Lucía
Context triple: [Guayas Province, contains, Santa Lucía]
  • A. San Blas
    San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
  • B. Puerto Luisa
    Puerto Luisa is the former name of Puerto Williams, a small Chilean town on Navarino Island often cited as one of the southernmost settlements in the world.
  • C. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • D. San Andrés y Sauces
    San Andrés y Sauces is a coastal municipality on the northeastern side of the island of La Palma in Spain’s Canary Islands, known for its lush landscapes and banana plantations.
  • E. Samaná
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • 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: Santa Lucía
Triple: [Guayas Province, contains, Santa Lucía]
Generated description
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santa Lucía
Target entity description: Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
  • A. San Blas
    San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
  • B. Puerto Luisa
    Puerto Luisa is the former name of Puerto Williams, a small Chilean town on Navarino Island often cited as one of the southernmost settlements in the world.
  • C. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • D. San Andrés y Sauces
    San Andrés y Sauces is a coastal municipality on the northeastern side of the island of La Palma in Spain’s Canary Islands, known for its lush landscapes and banana plantations.
  • E. Samaná
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ea6cc88190982527774223127f completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ddc66c81909525394a8b2bb4e0 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae75ba1a988190ba59d3ce5e5c39a8 completed March 9, 2026, 7:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae76246f6c81909a15262d2c4ea975 completed March 9, 2026, 7:26 a.m.
Created at: March 4, 2026, 7:48 p.m.