Triple

T25776285
Position Surface form Disambiguated ID Type / Status
Subject Sumapaz Massif E649158 entity
Predicate hasPart P35 FINISHED
Object municipality of Fosca
The municipality of Fosca is a small Andean town and administrative division in the Cundinamarca Department of Colombia, known for its rural landscapes and location within the highland region south of Bogotá.
E1693273 NE FINISHED

How this triple was built (2 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: municipality of Fosca | Statement: [Sumapaz Massif, hasPart, municipality of Fosca]
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: municipality of Fosca
Triple: [Sumapaz Massif, hasPart, municipality of Fosca]
Generated description
The municipality of Fosca is a small Andean town and administrative division in the Cundinamarca Department of Colombia, known for its rural landscapes and location within the highland region south of Bogotá.

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_69e7ab333b508190b6d708d8d9a328ed completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fe5c90dc8190910ea0d8f7f35cd7 completed May 2, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc2381708190a6c4b1e15bfee4dc completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10ccedad64819080986fe4cae5a969 completed May 22, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10ce0317348190b9b75259df58a264 completed May 22, 2026, 9:43 p.m.
Created at: April 22, 2026, 5:34 a.m.