Triple

T10360172
Position Surface form Disambiguated ID Type / Status
Subject Azuero Peninsula E244111 entity
Predicate majorCity P316 FINISHED
Object Chitré
Chitré is a prominent city in central Panama known as a commercial and cultural hub of the Azuero region.
 E858652 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: Chitré | Statement: [Azuero Peninsula, majorCity, Chitré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chitré
Context triple: [Azuero Peninsula, majorCity, Chitré]
  • A. Rancagua
    Rancagua is a major Chilean city known for its mining industry and historical significance in the country’s independence, serving as an important commercial and administrative center south of Santiago.
  • B. Talcahuano
    Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
  • C. Talca
    Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
  • D. Pichilemu
    Pichilemu is a coastal Chilean city renowned as a major surfing destination and seaside resort on the Pacific Ocean.
  • E. Nancagua
    Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
  • 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: Chitré
Triple: [Azuero Peninsula, majorCity, Chitré]
Generated description
Chitré is a prominent city in central Panama known as a commercial and cultural hub of the Azuero region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chitré
Target entity description: Chitré is a prominent city in central Panama known as a commercial and cultural hub of the Azuero region.
  • A. Rancagua
    Rancagua is a major Chilean city known for its mining industry and historical significance in the country’s independence, serving as an important commercial and administrative center south of Santiago.
  • B. Talcahuano
    Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
  • C. Talca
    Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
  • D. Pichilemu
    Pichilemu is a coastal Chilean city renowned as a major surfing destination and seaside resort on the Pacific Ocean.
  • E. Nancagua
    Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9609c4481908b7d72ecf1adaa73 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750b6ef248190bdbe16bbb8efcf88 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618ecb748190a492406eabe590d7 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77057affc8190b420e66560c3dfbd completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:59 a.m.