Triple

T1459583
Position Surface form Disambiguated ID Type / Status
Subject Madrid, Cundinamarca E31478 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Subachoque
Subachoque is a rural municipality in the Cundinamarca department of Colombia, known for its cool climate, agricultural activities, and scenic Andean landscapes.
 E167587 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: Subachoque | Statement: [Madrid, Cundinamarca, hasNeighboringMunicipality, Subachoque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Subachoque
Context triple: [Madrid, Cundinamarca, hasNeighboringMunicipality, Subachoque]
  • A. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • B. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • C. Chachani
    Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
  • D. Sipakapense
    Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
  • E. Chinchero
    Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
  • 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: Subachoque
Triple: [Madrid, Cundinamarca, hasNeighboringMunicipality, Subachoque]
Generated description
Subachoque is a rural municipality in the Cundinamarca department of Colombia, known for its cool climate, agricultural activities, and scenic Andean landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Subachoque
Target entity description: Subachoque is a rural municipality in the Cundinamarca department of Colombia, known for its cool climate, agricultural activities, and scenic Andean landscapes.
  • A. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • B. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • C. Chachani
    Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
  • D. Sipakapense
    Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
  • E. Chinchero
    Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59c1c288190be08064f2d351b2b completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e786a208190a57c4e1878c66517 completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0ee93c4c8190bd705e31d9492158 completed March 8, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad0fb331e881908455844135bb3208 completed March 8, 2026, 5:57 a.m.
Created at: March 1, 2026, 8 p.m.