Triple

T17430923
Position Surface form Disambiguated ID Type / Status
Subject San Teodoro E423865 entity
Predicate hasBeach P1922 FINISHED
Object La Cinta
La Cinta is a famous white-sand beach with shallow turquoise waters near San Teodoro in northeastern Sardinia, Italy.
 E1268803 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: La Cinta | Statement: [San Teodoro, hasBeach, La Cinta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Cinta
Context triple: [San Teodoro, hasBeach, La Cinta]
  • A. La Franja
    La Franja is the popular nickname of Mexican football club Puebla FC, referencing the distinctive diagonal stripe on the team’s jersey.
  • B. La Franja
    La Franja is a Catalan-speaking border region of eastern Aragon in Spain, known for its linguistic and cultural ties to Catalonia.
  • C. La Estrella
    La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
  • D. La Estrella
    La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
  • E. La Estrella
    La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
  • 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: La Cinta
Triple: [San Teodoro, hasBeach, La Cinta]
Generated description
La Cinta is a famous white-sand beach with shallow turquoise waters near San Teodoro in northeastern Sardinia, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Cinta
Target entity description: La Cinta is a famous white-sand beach with shallow turquoise waters near San Teodoro in northeastern Sardinia, Italy.
  • A. La Franja
    La Franja is the popular nickname of Mexican football club Puebla FC, referencing the distinctive diagonal stripe on the team’s jersey.
  • B. La Franja
    La Franja is a Catalan-speaking border region of eastern Aragon in Spain, known for its linguistic and cultural ties to Catalonia.
  • C. La Estrella
    La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
  • D. La Estrella
    La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
  • E. La Estrella
    La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490072b48190a39b1ac7bb5eb035 completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01afed3cb0819081fac1f1e59434f4 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0b04bf48190813232c7be3d37e7 completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b1581cfc81908d724a8b324e698e completed May 11, 2026, 10:37 a.m.
Created at: April 10, 2026, 5:46 a.m.