Triple

T1548850
Position Surface form Disambiguated ID Type / Status
Subject Caldas Department E33040 entity
Predicate hasCity P316 FINISHED
Object Neira
Neira is a Colombian town and municipality located in the Caldas Department in the Andean region of the country.
 E189374 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: Neira | Statement: [Caldas Department, hasCity, Neira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neira
Context triple: [Caldas Department, hasCity, Neira]
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • C. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • D. Arausio
    Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • E. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
  • 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: Neira
Triple: [Caldas Department, hasCity, Neira]
Generated description
Neira is a Colombian town and municipality located in the Caldas Department in the Andean region of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neira
Target entity description: Neira is a Colombian town and municipality located in the Caldas Department in the Andean region of the country.
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • C. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • D. Arausio
    Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • E. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad719b6c988190a525539d1a29d8d4 completed March 8, 2026, 12:54 p.m.
NEDg Description generation batch_69ad728cb27c8190802b30afc5e259e2 completed March 8, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_69ad72fa21208190b596bfdfc69043bd completed March 8, 2026, 1 p.m.
Created at: March 4, 2026, 7:26 p.m.