Triple

T2322880
Position Surface form Disambiguated ID Type / Status
Subject Sebastián de Benalcázar E48220 entity
Predicate founded P104 FINISHED
Object Pastos
Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
 E256698 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: Pastos | Statement: [Sebastián de Benalcázar, founded, Pastos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pastos
Context triple: [Sebastián de Benalcázar, founded, Pastos]
  • A. Pastures of Plenty
    Pastures of Plenty is a folk song by Woody Guthrie that reflects the struggles and resilience of migrant workers during the Dust Bowl era.
  • B. Mendaña
    Mendaña is the surname of the Spanish navigator Álvaro de Mendaña de Neira, known for leading early European expeditions to the Pacific and discovering the Solomon Islands.
  • C. Meadows
    Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
  • D. Agrotera
    Agrotera is an epithet of the Greek goddess Artemis that emphasizes her role as a huntress and protector of wild animals.
  • E. The Prairie
    The Prairie is an 1827 frontier novel by James Fenimore Cooper, part of the Leatherstocking Tales, that follows Natty Bumppo in his old age on the Great Plains of the American West.
  • 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: Pastos
Triple: [Sebastián de Benalcázar, founded, Pastos]
Generated description
Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pastos
Target entity description: Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
  • A. Pastures of Plenty
    Pastures of Plenty is a folk song by Woody Guthrie that reflects the struggles and resilience of migrant workers during the Dust Bowl era.
  • B. Mendaña
    Mendaña is the surname of the Spanish navigator Álvaro de Mendaña de Neira, known for leading early European expeditions to the Pacific and discovering the Solomon Islands.
  • C. Meadows
    Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
  • D. Agrotera
    Agrotera is an epithet of the Greek goddess Artemis that emphasizes her role as a huntress and protector of wild animals.
  • E. The Prairie
    The Prairie is an 1827 frontier novel by James Fenimore Cooper, part of the Leatherstocking Tales, that follows Natty Bumppo in his old age on the Great Plains of the American West.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc645bac081908c0b161d0ca99aaf completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896b357c8190a6cdf99d5292037e completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8e8263a08190a0950dbb1336df70 completed March 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae8f9fe79c819080062587aed27379 completed March 9, 2026, 9:15 a.m.
Created at: March 4, 2026, 7:49 p.m.