Triple

T3964785
Position Surface form Disambiguated ID Type / Status
Subject Cerro Las Minas E92188 entity
Predicate nearestTown P350 FINISHED
Object Gracias
Gracias is a historic colonial town in western Honduras known for its preserved architecture and proximity to the Celaque National Park and Cerro Las Minas.
 E402712 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: Gracias | Statement: [Cerro Las Minas, nearestTown, Gracias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gracias
Context triple: [Cerro Las Minas, nearestTown, Gracias]
  • A. Graças
    Graças is a traditional, upscale residential neighborhood in the city of Recife, Brazil, known for its tree-lined streets, historic houses, and proximity to the city center.
  • B. Thank You
    "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
  • C. Thank You
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • D. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • E. Thank You So Much
    "Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
  • 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: Gracias
Triple: [Cerro Las Minas, nearestTown, Gracias]
Generated description
Gracias is a historic colonial town in western Honduras known for its preserved architecture and proximity to the Celaque National Park and Cerro Las Minas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gracias
Target entity description: Gracias is a historic colonial town in western Honduras known for its preserved architecture and proximity to the Celaque National Park and Cerro Las Minas.
  • A. Graças
    Graças is a traditional, upscale residential neighborhood in the city of Recife, Brazil, known for its tree-lined streets, historic houses, and proximity to the city center.
  • B. Thank You
    "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
  • C. Thank You
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • D. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • E. Thank You So Much
    "Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef97326888190bbfe15b218e3112e completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533be4a688190a7d011ae2858e6ed completed March 14, 2026, 10:09 a.m.
NEDg Description generation batch_69b537cc86e88190bae10e740d8c3ec7 completed March 14, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69b538595d2481908812ab03cdb94659 completed March 14, 2026, 10:28 a.m.
Created at: March 9, 2026, 3:31 p.m.