Triple

T1459319
Position Surface form Disambiguated ID Type / Status
Subject Boyacá Department E31473 entity
Predicate hasTown P847 FINISHED
Object Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
E186026 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: Nobsa | Statement: [Boyacá Department, hasTown, Nobsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobsa
Context triple: [Boyacá Department, hasTown, Nobsa]
  • A. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • B. Nuriootpa
    Nuriootpa is a major town in South Australia's Barossa Valley wine region, known as a commercial and service hub for the surrounding vineyards and wineries.
  • C. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • D. Nuwu
    Nuwu is the self-designation of the Southern Paiute people, an Indigenous group native to the southwestern United States.
  • E. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • 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: Nobsa
Triple: [Boyacá Department, hasTown, Nobsa]
Generated description
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nobsa
Target entity description: Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
  • A. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • B. Nuriootpa
    Nuriootpa is a major town in South Australia's Barossa Valley wine region, known as a commercial and service hub for the surrounding vineyards and wineries.
  • C. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • D. Nuwu
    Nuwu is the self-designation of the Southern Paiute people, an Indigenous group native to the southwestern United States.
  • E. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • 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_69ad608253cc81909e1985f6dc5e41a4 completed March 8, 2026, 11:41 a.m.
NEDg Description generation batch_69ad61ae3c948190b1871e877e856a65 completed March 8, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69ad622acf5881908add72069bd2f060 completed March 8, 2026, 11:48 a.m.
Created at: March 1, 2026, 8 p.m.