Triple

T3529583
Position Surface form Disambiguated ID Type / Status
Subject Viña del Mar E74624 entity
Predicate borderedBy P224 FINISHED
Object Concón
Concón is a coastal city and popular beach resort in central Chile, known for its dunes, seafood, and proximity to Viña del Mar.
 E365789 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: Concón | Statement: [Viña del Mar, borderedBy, Concón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Concón
Context triple: [Viña del Mar, borderedBy, Concón]
  • A. Puerto Toro
    Puerto Toro is a tiny Chilean fishing hamlet on Navarino Island, notable as one of the southernmost permanent settlements in the world.
  • B. Pisco Bay
    Pisco Bay is a coastal bay in southern Peru known for its rich marine biodiversity, nearby Paracas National Reserve, and role as a hub for fishing and tourism.
  • C. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • D. Choloma
    Choloma is a rapidly growing industrial city in northern Honduras known for its large concentration of maquiladora factories and manufacturing activity.
  • E. Loncoche
    Loncoche is a town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and proximity to forests and rivers.
  • 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: Concón
Triple: [Viña del Mar, borderedBy, Concón]
Generated description
Concón is a coastal city and popular beach resort in central Chile, known for its dunes, seafood, and proximity to Viña del Mar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Concón
Target entity description: Concón is a coastal city and popular beach resort in central Chile, known for its dunes, seafood, and proximity to Viña del Mar.
  • A. Puerto Toro
    Puerto Toro is a tiny Chilean fishing hamlet on Navarino Island, notable as one of the southernmost permanent settlements in the world.
  • B. Pisco Bay
    Pisco Bay is a coastal bay in southern Peru known for its rich marine biodiversity, nearby Paracas National Reserve, and role as a hub for fishing and tourism.
  • C. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • D. Choloma
    Choloma is a rapidly growing industrial city in northern Honduras known for its large concentration of maquiladora factories and manufacturing activity.
  • E. Loncoche
    Loncoche is a town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and proximity to forests and rivers.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9764a881908aa8d25dc9adf59e completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e93c1988190a9ab7698bf63e8e6 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b380a6b6ec8190be0741cb9535b650 completed March 13, 2026, 3:12 a.m.
NED2 Entity disambiguation (via description) batch_69b3812927e48190a84f3c7fa55d070a completed March 13, 2026, 3:14 a.m.
Created at: March 8, 2026, 3:19 p.m.