Triple

T13769245
Position Surface form Disambiguated ID Type / Status
Subject Cortés Department E330832 entity
Predicate containsCity P294 FINISHED
Object Pimienta
Pimienta is a small municipality and town located in the Cortés Department of northwestern Honduras.
E1059923 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: Pimienta | Statement: [Cortés Department, containsCity, Pimienta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pimienta
Context triple: [Cortés Department, containsCity, Pimienta]
  • A. Sabor
    Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
  • B. Sabor
    Sabor is a river in northeastern Portugal that flows through the Trás-os-Montes region before joining the Douro River.
  • C. Samper del Salz
    Samper del Salz is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
  • D. La Puntilla
    La Puntilla is an affluent urban parish in Ecuador known for its residential developments, shopping centers, and proximity to the city of Guayaquil.
  • E. Piripiri
    Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
  • 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: Pimienta
Triple: [Cortés Department, containsCity, Pimienta]
Generated description
Pimienta is a small municipality and town located in the Cortés Department of northwestern Honduras.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pimienta
Target entity description: Pimienta is a small municipality and town located in the Cortés Department of northwestern Honduras.
  • A. Sabor
    Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
  • B. Sabor
    Sabor is a river in northeastern Portugal that flows through the Trás-os-Montes region before joining the Douro River.
  • C. Samper del Salz
    Samper del Salz is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
  • D. La Puntilla
    La Puntilla is an affluent urban parish in Ecuador known for its residential developments, shopping centers, and proximity to the city of Guayaquil.
  • E. Piripiri
    Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a9f5549c81908a1a0b080acc3396 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aafceea881908737a3d7613db2d5 completed May 3, 2026, 8:07 p.m.
Created at: April 9, 2026, 10:10 p.m.