Triple

T4932541
Position Surface form Disambiguated ID Type / Status
Subject Magdalena River valley E110729 entity
Predicate hasCity P316 FINISHED
Object Magangué
Magangué is a Colombian city located in the department of Bolívar, known as an important commercial and river port along the Magdalena River.
 E481842 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: Magangué | Statement: [Magdalena River valley, hasCity, Magangué]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magangué
Context triple: [Magdalena River valley, hasCity, Magangué]
  • A. Tucupita
    Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
  • B. Rurrenabaque
    Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
  • C. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • D. Lobito
    Lobito is a coastal city and major port in western Angola, known for its strategic harbor and role in the country’s trade and transport.
  • E. Espinal
    Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
  • 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: Magangué
Triple: [Magdalena River valley, hasCity, Magangué]
Generated description
Magangué is a Colombian city located in the department of Bolívar, known as an important commercial and river port along the Magdalena River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magangué
Target entity description: Magangué is a Colombian city located in the department of Bolívar, known as an important commercial and river port along the Magdalena River.
  • A. Tucupita
    Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
  • B. Rurrenabaque
    Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
  • C. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • D. Lobito
    Lobito is a coastal city and major port in western Angola, known for its strategic harbor and role in the country’s trade and transport.
  • E. Espinal
    Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7063c57c8190a5a6fb3586238d35 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b41c4c8190b4f714334242bc9b completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be7b9611a881908e83086719406145 completed March 21, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69be7ce630248190b274547eaa15fe85 completed March 21, 2026, 11:11 a.m.
Created at: March 20, 2026, 1:30 p.m.