Triple

T5536924
Position Surface form Disambiguated ID Type / Status
Subject Llacolén Bridge E145184 entity
Predicate namedAfter P63 FINISHED
Object Llacolén
Llacolén is a locality in Chile whose name is commemorated by the Llacolén Bridge.
 E535894 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: Llacolén | Statement: [Llacolén Bridge, namedAfter, Llacolén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Llacolén
Context triple: [Llacolén Bridge, namedAfter, Llacolén]
  • A. Puchuncaví
    Puchuncaví is a coastal commune and town in Chile’s Valparaíso Region, known for its beaches and its proximity to the industrial area around Quintero.
  • B. Lunahuaná
    Lunahuaná is a popular Peruvian town known for its adventure tourism, especially whitewater rafting, and its production of pisco and wine in the Cañete Valley.
  • C. Coihueco
    Coihueco is a Chilean town and commune located in the Ñuble Region, known for its agricultural activities and rural character.
  • D. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • E. Quillacinga
    Quillacinga are an Indigenous people of the Andean region in what is now southern Colombia, known historically for their distinct culture and resistance to Spanish colonization.
  • 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: Llacolén
Triple: [Llacolén Bridge, namedAfter, Llacolén]
Generated description
Llacolén is a locality in Chile whose name is commemorated by the Llacolén Bridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Llacolén
Target entity description: Llacolén is a locality in Chile whose name is commemorated by the Llacolén Bridge.
  • A. Puchuncaví
    Puchuncaví is a coastal commune and town in Chile’s Valparaíso Region, known for its beaches and its proximity to the industrial area around Quintero.
  • B. Lunahuaná
    Lunahuaná is a popular Peruvian town known for its adventure tourism, especially whitewater rafting, and its production of pisco and wine in the Cañete Valley.
  • C. Coihueco
    Coihueco is a Chilean town and commune located in the Ñuble Region, known for its agricultural activities and rural character.
  • D. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • E. Quillacinga
    Quillacinga are an Indigenous people of the Andean region in what is now southern Colombia, known historically for their distinct culture and resistance to Spanish colonization.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ce6a3bc8190958b9356bb788d72 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:34 p.m.