Triple

T1687032
Position Surface form Disambiguated ID Type / Status
Subject Galicia E36464 entity
Predicate containsRegion P285 FINISHED
Object Costa da Morte
Costa da Morte is a rugged, Atlantic-battered coastal region in northwestern Spain known for its dramatic cliffs, lighthouses, and history of shipwrecks.
E191707 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: Costa da Morte | Statement: [Galicia, containsRegion, Costa da Morte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Costa da Morte
Context triple: [Galicia, containsRegion, Costa da Morte]
  • A. Costa Norte
    Costa Norte is a coastal region in the Mexican state of Jalisco known for its Pacific beaches and tourist destinations.
  • B. Costa
    Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
  • C. Costa del Sol Occidental
    Costa del Sol Occidental is a popular coastal area in southern Spain known for its Mediterranean beaches, resort towns, and tourism-focused development along the western stretch of the Costa del Sol.
  • D. Iberia
    Iberia is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, particularly linking Europe with Latin America.
  • E. Algarve
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • 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: Costa da Morte
Triple: [Galicia, containsRegion, Costa da Morte]
Generated description
Costa da Morte is a rugged, Atlantic-battered coastal region in northwestern Spain known for its dramatic cliffs, lighthouses, and history of shipwrecks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Costa da Morte
Target entity description: Costa da Morte is a rugged, Atlantic-battered coastal region in northwestern Spain known for its dramatic cliffs, lighthouses, and history of shipwrecks.
  • A. Costa Norte
    Costa Norte is a coastal region in the Mexican state of Jalisco known for its Pacific beaches and tourist destinations.
  • B. Costa
    Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
  • C. Costa del Sol Occidental
    Costa del Sol Occidental is a popular coastal area in southern Spain known for its Mediterranean beaches, resort towns, and tourism-focused development along the western stretch of the Costa del Sol.
  • D. Iberia
    Iberia is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, particularly linking Europe with Latin America.
  • E. Algarve
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6293c368819094ab0f615e418647 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad79901458819098f0be72d9d4a9bb completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad81f90e948190b83078523b1cf3f8 completed March 8, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ad82755910819087aa9940dc1e7495 completed March 8, 2026, 2:06 p.m.
Created at: March 4, 2026, 7:29 p.m.