Triple

T505946
Position Surface form Disambiguated ID Type / Status
Subject Pacific coast of Chile E10501 entity
Predicate hasCity P316 FINISHED
Object Lota
Lota is a coastal city in southern Chile known historically for its coal mining industry and maritime heritage.
 E68423 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: Lota | Statement: [Pacific coast of Chile, hasCity, Lota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lota
Context triple: [Pacific coast of Chile, hasCity, Lota]
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Chetlat
    Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
  • C. Dila
    Dila is the commonly used short name for FC Dila Gori, a professional football club based in Gori, Georgia.
  • D. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • E. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • 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: Lota
Triple: [Pacific coast of Chile, hasCity, Lota]
Generated description
Lota is a coastal city in southern Chile known historically for its coal mining industry and maritime heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lota
Target entity description: Lota is a coastal city in southern Chile known historically for its coal mining industry and maritime heritage.
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Chetlat
    Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
  • C. Dila
    Dila is the commonly used short name for FC Dila Gori, a professional football club based in Gori, Georgia.
  • D. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • E. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14b2acc8190818e8a53eac69c54 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4d03e47c08190b5e5e37402c6cd21 completed March 1, 2026, 11:48 p.m.
NEDg Description generation batch_69a4d11cdb94819087cf0ba64194725c completed March 1, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69a4d4e3e78c8190b7d619d1ca9ef3d6 completed March 2, 2026, 12:08 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.