Triple
T22606556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calamocha |
E566576
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Cuencabuena
Cuencabuena is a small village in the municipality of Calamocha, located in the province of Teruel in the autonomous community of Aragon, Spain.
|
E1546553
|
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: Cuencabuena | Statement: [Calamocha, hasSubdivision, Cuencabuena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuencabuena Context triple: [Calamocha, hasSubdivision, Cuencabuena]
-
A.
Caviahue
Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
-
B.
Río Bueno
Río Bueno is a Chilean city known for its agricultural surroundings and location along the Bueno River in the Los Ríos Region.
-
C.
Vizcaína
Vizcaína was one of the ships in Christopher Columbus’s fourth voyage to the Americas in the early 16th century.
-
D.
El Chañar
El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
-
E.
Arroyito
Arroyito is a neighborhood in the city of Rosario, Argentina, best known for hosting the home stadium of the Rosario Central football club.
- 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: Cuencabuena Triple: [Calamocha, hasSubdivision, Cuencabuena]
Generated description
Cuencabuena is a small village in the municipality of Calamocha, located in the province of Teruel in the autonomous community of Aragon, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cuencabuena Target entity description: Cuencabuena is a small village in the municipality of Calamocha, located in the province of Teruel in the autonomous community of Aragon, Spain.
-
A.
Caviahue
Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
-
B.
Río Bueno
Río Bueno is a Chilean city known for its agricultural surroundings and location along the Bueno River in the Los Ríos Region.
-
C.
Vizcaína
Vizcaína was one of the ships in Christopher Columbus’s fourth voyage to the Americas in the early 16th century.
-
D.
El Chañar
El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
-
E.
Arroyito
Arroyito is a neighborhood in the city of Rosario, Argentina, best known for hosting the home stadium of the Rosario Central football club.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4df72f2c819095311b64d5c9a400 |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b51e5b7a0819098f9b93051c27ca2 |
completed | May 18, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b529631048190ae49bb7ca38d669e |
completed | May 18, 2026, 5:55 p.m. |
Created at: April 17, 2026, 2:54 p.m.