Triple

T10070
Position Surface form Disambiguated ID Type / Status
Subject Coquimbo Region E204 entity
Predicate hasCity P316 FINISHED
Object Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
E5387 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: Ovalle | Statement: [Coquimbo Region, hasCity, Ovalle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ovalle
Context triple: [Coquimbo Region, hasCity, Ovalle]
  • A. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • B. Limarí Province
    Limarí Province is an administrative division in north-central Chile known for its semi-arid climate, agriculture, and pisco-producing valleys.
  • C. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • D. Patagonia
    Patagonia is a sparsely populated region at the southern end of South America, renowned for its dramatic mountains, glaciers, and windswept plains shared by Chile and Argentina.
  • E. Central Valley of Chile
    The Central Valley of Chile is a fertile, densely populated agricultural and wine-producing heartland stretching between the Chilean Coastal Range and the Andes.
  • 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: Ovalle
Triple: [Coquimbo Region, hasCity, Ovalle]
Generated description
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ovalle
Target entity description: Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • A. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • B. Limarí Province
    Limarí Province is an administrative division in north-central Chile known for its semi-arid climate, agriculture, and pisco-producing valleys.
  • C. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • D. Patagonia
    Patagonia is a sparsely populated region at the southern end of South America, renowned for its dramatic mountains, glaciers, and windswept plains shared by Chile and Argentina.
  • E. Presidente Eduardo Frei Montalva Base
    Presidente Eduardo Frei Montalva Base is a major Chilean Antarctic research station and logistical hub located on King George Island in the South Shetland Islands.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a2465b2cf881908bf61c461e04cf6a completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2552ac50c819085e4e45c00cd7956 completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a2569c52808190acb928405528d174 completed Feb. 28, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69a2575b51188190b8fce6ea4e424ce1 completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.