Triple

T13619638
Position Surface form Disambiguated ID Type / Status
Subject Church of Nercón E325413 entity
Predicate locatedIn P40 FINISHED
Object Nercón
Nercón is a small locality on Chiloé Island in southern Chile, known for its historic wooden church recognized as part of a UNESCO World Heritage Site.
 E1051794 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: Nercón | Statement: [Church of Nercón, locatedIn, Nercón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nercón
Context triple: [Church of Nercón, locatedIn, Nercón]
  • A. Nigrán
    Nigrán is a coastal municipality in the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • B. Néracais
    Néracais is the French demonym for inhabitants of the town of Nérac in southwestern France.
  • C. Etona
    Etona is a component or section of the broader entity known as Floreat Etona, likely associated with the traditions or structure of Eton College.
  • D. Écône
    Écône is a small village in the Swiss canton of Valais best known as the headquarters and principal seminary site of the traditionalist Catholic Society of Saint Pius X.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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: Nercón
Triple: [Church of Nercón, locatedIn, Nercón]
Generated description
Nercón is a small locality on Chiloé Island in southern Chile, known for its historic wooden church recognized as part of a UNESCO World Heritage Site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nercón
Target entity description: Nercón is a small locality on Chiloé Island in southern Chile, known for its historic wooden church recognized as part of a UNESCO World Heritage Site.
  • A. Nigrán
    Nigrán is a coastal municipality in the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • B. Néracais
    Néracais is the French demonym for inhabitants of the town of Nérac in southwestern France.
  • C. Etona
    Etona is a component or section of the broader entity known as Floreat Etona, likely associated with the traditions or structure of Eton College.
  • D. Écône
    Écône is a small village in the Swiss canton of Valais best known as the headquarters and principal seminary site of the traditionalist Catholic Society of Saint Pius X.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0b0c9008190836242da2d6a8cbe completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa0b81c819094e2fa209ef9857c completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f783c24d088190ad53fa2d33a255c9 completed May 3, 2026, 5:20 p.m.
NED2 Entity disambiguation (via description) batch_69f78452e8bc8190a55f2be349fe718f completed May 3, 2026, 5:22 p.m.
Created at: April 9, 2026, 9:50 p.m.