Triple

T134883
Position Surface form Disambiguated ID Type / Status
Subject Scottish Islands E2726 entity
Predicate hasPart P35 FINISHED
Object Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
E19026 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: Barra | Statement: [Scottish Islands, hasPart, Barra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barra
Context triple: [Scottish Islands, hasPart, Barra]
  • A. Castro Marim
    Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
  • B. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • C. Hanga Roa
    Hanga Roa is the main town and only significant urban center on Easter Island, serving as its administrative, cultural, and tourism hub.
  • D. Malecón
    Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
  • E. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • 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: Barra
Triple: [Scottish Islands, hasPart, Barra]
Generated description
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barra
Target entity description: Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • A. Castro Marim
    Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
  • B. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • C. Hanga Roa
    Hanga Roa is the main town and only significant urban center on Easter Island, serving as its administrative, cultural, and tourism hub.
  • D. Malecón
    Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
  • E. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a3ad908190b6a8652f09ae0cbb completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce3540588190a7e80e5c887dd292 completed Feb. 28, 2026, 11:15 a.m.
NEDg Description generation batch_69a2ced98d208190a1593e4f944df06b completed Feb. 28, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_69a2cf3e80d08190aefb2651ee66b387 completed Feb. 28, 2026, 11:19 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.