Triple

T8528651
Position Surface form Disambiguated ID Type / Status
Subject Cesar Department E201884 entity
Predicate hasMajorCity P316 FINISHED
Object Bosconia
Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
 E741630 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: Bosconia | Statement: [Cesar Department, hasMajorCity, Bosconia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bosconia
Context triple: [Cesar Department, hasMajorCity, Bosconia]
  • A. Banat
    Banat is a historical region in Central Europe, now divided among Romania, Serbia, and Hungary, known for its ethnic diversity and multicultural heritage.
  • B. Cocijo
    Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
  • C. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • D. Borbera
    Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
  • E. Belic
    Belic is a small settlement located near Playa Las Coloradas on the coast of Cuba.
  • 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: Bosconia
Triple: [Cesar Department, hasMajorCity, Bosconia]
Generated description
Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bosconia
Target entity description: Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
  • A. Banat
    Banat is a historical region in Central Europe, now divided among Romania, Serbia, and Hungary, known for its ethnic diversity and multicultural heritage.
  • B. Cocijo
    Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
  • C. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • D. Borbera
    Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
  • E. Belic
    Belic is a small settlement located near Playa Las Coloradas on the coast of Cuba.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe672e0588190a84328e1bf974f08 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d5e5b58819095c1c915dfe27b52 completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:17 p.m.