Triple

T20323178
Position Surface form Disambiguated ID Type / Status
Subject Santiago Province E492260 entity
Predicate hasMunicipalDistrict P78738 FINISHED
Object La Cuesta
La Cuesta is a municipal district within Santiago Province in the Dominican Republic, functioning as a local administrative subdivision of the province.
E1423896 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 Cuesta | Statement: [Santiago Province, hasMunicipalDistrict, La Cuesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Cuesta
Context triple: [Santiago Province, hasMunicipalDistrict, La Cuesta]
  • A. Pie de la Cuesta
    Pie de la Cuesta is a coastal community and beach area near Acapulco in the Mexican state of Guerrero, known for its sunsets and laid-back atmosphere.
  • B. Hillside
    Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
  • C. Hillside
    Hillside is a suburban area in Southport, Merseyside, England, known for its residential character and proximity to Ainsdale and the Sefton coastline.
  • D. Hillside
    Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
  • E. Hillside
    Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
  • 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 Cuesta
Triple: [Santiago Province, hasMunicipalDistrict, La Cuesta]
Generated description
La Cuesta is a municipal district within Santiago Province in the Dominican Republic, functioning as a local administrative subdivision of the province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Cuesta
Target entity description: La Cuesta is a municipal district within Santiago Province in the Dominican Republic, functioning as a local administrative subdivision of the province.
  • A. Pie de la Cuesta
    Pie de la Cuesta is a coastal community and beach area near Acapulco in the Mexican state of Guerrero, known for its sunsets and laid-back atmosphere.
  • B. Hillside
    Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
  • C. Hillside
    Hillside is a suburban area in Southport, Merseyside, England, known for its residential character and proximity to Ainsdale and the Sefton coastline.
  • D. Hillside
    Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
  • E. Hillside
    Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778d95dc81909b1c87d26b5d3a33 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612ae0fc8190b71aed985088eb59 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a0862c7eaa081909932483432f2fa9a completed May 16, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08634352288190976327bca8ea3986 completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:20 a.m.