Triple

T13388592
Position Surface form Disambiguated ID Type / Status
Subject Comayagua Department E319508 entity
Predicate hasSettlement P1068 FINISHED
Object San Luis
San Luis is a town and municipality located in the Comayagua Department of central Honduras.
E1037254 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: San Luis | Statement: [Comayagua Department, hasSettlement, San Luis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Luis
Context triple: [Comayagua Department, hasSettlement, San Luis]
  • A. San Luis
    San Luis is a municipal barrio (district) of the mountainous town of Aibonito in central Puerto Rico.
  • B. San Luis
    San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
  • C. San Luis
    San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
  • D. San Luis
    San Luis is a province in central Argentina known for its mountainous landscapes, arid climate, and role in the country’s early independence era.
  • E. San Luis
    San Luis is a landlocked agricultural municipality in the province of Pampanga in the Philippines, known for its rice fields and rural communities.
  • 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: San Luis
Triple: [Comayagua Department, hasSettlement, San Luis]
Generated description
San Luis is a town and municipality located in the Comayagua Department of central Honduras.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Luis
Target entity description: San Luis is a town and municipality located in the Comayagua Department of central Honduras.
  • A. San Luis
    San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
  • B. San Luis
    San Luis is a municipal barrio (district) of the mountainous town of Aibonito in central Puerto Rico.
  • C. San Luis
    San Luis is a coastal municipality in the Philippine province of Batangas known for its agricultural economy and small-town rural character.
  • D. San Luis
    San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
  • E. San Luis
    San Luis is a landlocked agricultural municipality in the province of Pampanga in the Philippines, known for its rice fields and rural communities.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d3a40081909ba49556130ad0e7 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72691c8d08190b971d7e914863cc1 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7272115f4819092e4fa0fd7f130b5 completed May 3, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69f72992483c8190873ba7050ad9e6fa completed May 3, 2026, 10:55 a.m.
Created at: April 9, 2026, 9:34 p.m.