Triple

T11421217
Position Surface form Disambiguated ID Type / Status
Subject Lembata E270623 entity
Predicate containsSettlement P847 FINISHED
Object Lamarela
Lamarela is a coastal fishing village on the island of Lembata in Indonesia, known for its traditional subsistence whaling practices.
E924505 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: Lamarela | Statement: [Lembata, containsSettlement, Lamarela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamarela
Context triple: [Lembata, containsSettlement, Lamarela]
  • A. Melaque
    Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
  • B. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • C. Lamboya
    Lamboya is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
  • D. Amandina
    Amandina is a feminine given name that functions as a variant form of Amanda.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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: Lamarela
Triple: [Lembata, containsSettlement, Lamarela]
Generated description
Lamarela is a coastal fishing village on the island of Lembata in Indonesia, known for its traditional subsistence whaling practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lamarela
Target entity description: Lamarela is a coastal fishing village on the island of Lembata in Indonesia, known for its traditional subsistence whaling practices.
  • A. Melaque
    Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
  • B. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • C. Lamboya
    Lamboya is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
  • D. Amandina
    Amandina is a feminine given name that functions as a variant form of Amanda.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b20ce08190befc98379b879985 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b88f80d88190b91b63d0b7457c25 completed April 20, 2026, 5:24 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.