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.