Triple

T2274098
Position Surface form Disambiguated ID Type / Status
Subject Guayas Province E50728 entity
Predicate contains P35 FINISHED
Object Playas
Playas is a coastal town and popular beach destination in southwestern Ecuador.
E250932 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: Playas | Statement: [Guayas Province, contains, Playas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Playas
Context triple: [Guayas Province, contains, Playas]
  • A. Zapallar
    Zapallar is a coastal town and popular beach resort in central Chile, known for its scenic bay, upscale summer homes, and tranquil atmosphere.
  • B. Portales
    Portales is a small city in eastern New Mexico known as the home of Eastern New Mexico University and for its surrounding agricultural community.
  • C. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • D. Los Realejos
    Los Realejos is a coastal municipality in northern Tenerife, Spain, known for its traditional Canarian architecture, historic churches, and vibrant local festivals.
  • E. La Yesca
    La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
  • 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: Playas
Triple: [Guayas Province, contains, Playas]
Generated description
Playas is a coastal town and popular beach destination in southwestern Ecuador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Playas
Target entity description: Playas is a coastal town and popular beach destination in southwestern Ecuador.
  • A. Zapallar
    Zapallar is a coastal town and popular beach resort in central Chile, known for its scenic bay, upscale summer homes, and tranquil atmosphere.
  • B. Portales
    Portales is a small city in eastern New Mexico known as the home of Eastern New Mexico University and for its surrounding agricultural community.
  • C. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • D. Los Realejos
    Los Realejos is a coastal municipality in northern Tenerife, Spain, known for its traditional Canarian architecture, historic churches, and vibrant local festivals.
  • E. La Yesca
    La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
  • 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.