Triple

T8533390
Position Surface form Disambiguated ID Type / Status
Subject Ourense E202011 entity
Predicate hasThermalArea P6822 FINISHED
Object Chavasqueira
Chavasqueira is a well-known thermal bath area in Ourense, Spain, famous for its natural hot springs and riverside spa pools.
E741891 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: Chavasqueira | Statement: [Ourense, hasThermalArea, Chavasqueira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chavasqueira
Context triple: [Ourense, hasThermalArea, Chavasqueira]
  • A. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • B. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • C. Chacahua
    Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
  • D. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • E. El Chal
    El Chal is a municipality and town located in Guatemala's northern Petén region, known for its rural communities and proximity to Maya archaeological areas.
  • 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: Chavasqueira
Triple: [Ourense, hasThermalArea, Chavasqueira]
Generated description
Chavasqueira is a well-known thermal bath area in Ourense, Spain, famous for its natural hot springs and riverside spa pools.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chavasqueira
Target entity description: Chavasqueira is a well-known thermal bath area in Ourense, Spain, famous for its natural hot springs and riverside spa pools.
  • A. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • B. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • C. Chacahua
    Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
  • D. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • E. El Chal
    El Chal is a municipality and town located in Guatemala's northern Petén region, known for its rural communities and proximity to Maya archaeological areas.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe678fe448190a50c6b0d149b081f completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d7aa3a881909bfdd3536dbc4ec7 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:17 p.m.