Triple

T12969118
Position Surface form Disambiguated ID Type / Status
Subject Paruro Province E321346 entity
Predicate capital P234 FINISHED
Object Paruro
Paruro is a small town in the Cusco Region of Peru that serves as the administrative and political center of Paruro Province.
 E1015304 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: Paruro | Statement: [Paruro Province, capital, Paruro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paruro
Context triple: [Paruro Province, capital, Paruro]
  • A. Puno
    Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
  • B. Lumbaquí
    Lumbaquí is a small town in northeastern Ecuador that serves as a local hub within the Amazonian Sucumbíos Province.
  • C. Machalí
    Machalí is a Chilean city in the O'Higgins Region known for its proximity to the El Teniente copper mine and the Andean foothills.
  • D. Huaraz
    Huaraz is a highland city in north-central Peru known as a gateway to the Cordillera Blanca and Huascarán National Park, popular for trekking, mountaineering, and Andean culture.
  • E. Cuyoño
    Cuyoño is an Austronesian language spoken primarily in the Cuyo Islands and parts of Palawan in the Philippines.
  • 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: Paruro
Triple: [Paruro Province, capital, Paruro]
Generated description
Paruro is a small town in the Cusco Region of Peru that serves as the administrative and political center of Paruro Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paruro
Target entity description: Paruro is a small town in the Cusco Region of Peru that serves as the administrative and political center of Paruro Province.
  • A. Puno
    Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
  • B. Lumbaquí
    Lumbaquí is a small town in northeastern Ecuador that serves as a local hub within the Amazonian Sucumbíos Province.
  • C. Machalí
    Machalí is a Chilean city in the O'Higgins Region known for its proximity to the El Teniente copper mine and the Andean foothills.
  • D. Huaraz
    Huaraz is a highland city in north-central Peru known as a gateway to the Cordillera Blanca and Huascarán National Park, popular for trekking, mountaineering, and Andean culture.
  • E. Cuyoño
    Cuyoño is an Austronesian language spoken primarily in the Cuyo Islands and parts of Palawan in the Philippines.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f4798c8190861638c699e98045 completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c277e6248190870b3bf9869716a7 completed May 3, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69f6c38bc0b08190b76cb0853d99ad82 completed May 3, 2026, 3:39 a.m.
Created at: April 9, 2026, 8:33 p.m.