Triple

T16759913
Position Surface form Disambiguated ID Type / Status
Subject Loja E407311 entity
Predicate demonym P191 FINISHED
Object Lojana
Lojana is a term used to refer to a female inhabitant or native of the city of Loja in southern Ecuador.
 E1231513 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: Lojana | Statement: [Loja, demonym, Lojana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lojana
Context triple: [Loja, demonym, Lojana]
  • A. Jovanka
    Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
  • B. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • C. Julana
    Julana is a town in the Indian state of Haryana that serves as a local administrative and commercial center within Jind district.
  • D. Nadiža
    Nadiža is a river in the western Balkans, known for its clear waters and scenic course through the mountainous border region between Slovenia and Italy.
  • E. Doliana
    Doliana is a village in the municipality of North Kynouria in the Arcadia regional unit of the Peloponnese, Greece.
  • 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: Lojana
Triple: [Loja, demonym, Lojana]
Generated description
Lojana is a term used to refer to a female inhabitant or native of the city of Loja in southern Ecuador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lojana
Target entity description: Lojana is a term used to refer to a female inhabitant or native of the city of Loja in southern Ecuador.
  • A. Jovanka
    Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
  • B. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • C. Julana
    Julana is a town in the Indian state of Haryana that serves as a local administrative and commercial center within Jind district.
  • D. Nadiža
    Nadiža is a river in the western Balkans, known for its clear waters and scenic course through the mountainous border region between Slovenia and Italy.
  • E. Doliana
    Doliana is a village in the municipality of North Kynouria in the Arcadia regional unit of the Peloponnese, Greece.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abeb3ab08190918f6bff686858be completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52b17b88190af24c04d16980c9f completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a5e1eea8819088553ac6673e9b1c completed May 10, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a00a68b92b48190865ddd477a8ba1c6 completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.