Triple

T5241714
Position Surface form Disambiguated ID Type / Status
Subject Malleco Province E118357 entity
Predicate contains P35 FINISHED
Object Lumaco
Lumaco is a rural commune and town in Chile’s Araucanía Region, known for its Mapuche heritage and forestry-based economy.
 E505054 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: Lumaco | Statement: [Malleco Province, contains, Lumaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lumaco
Context triple: [Malleco Province, contains, Lumaco]
  • A. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • B. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • C. Macuata
    Macuata is a province in northern Fiji located on the island of Vanua Levu, known for its sugarcane farming and coastal communities.
  • D. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • E. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • 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: Lumaco
Triple: [Malleco Province, contains, Lumaco]
Generated description
Lumaco is a rural commune and town in Chile’s Araucanía Region, known for its Mapuche heritage and forestry-based economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lumaco
Target entity description: Lumaco is a rural commune and town in Chile’s Araucanía Region, known for its Mapuche heritage and forestry-based economy.
  • A. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • B. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • C. Macuata
    Macuata is a province in northern Fiji located on the island of Vanua Levu, known for its sugarcane farming and coastal communities.
  • D. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • E. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2c50508190b84bab216c30cbfe completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef82b42308190b9e3e0e113d8093b completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8bfcd1c819090b81f8ebb097c5b completed March 21, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69bef95e7ce48190a1ec2fc27ce37d00 completed March 21, 2026, 8:02 p.m.
Created at: March 20, 2026, 1:49 p.m.