Triple
T15232905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Badajoz |
E364048
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Talarrubias
Talarrubias is a municipality in the Extremadura region of western Spain, known for its rural character and proximity to the La Serena reservoir.
|
E1144432
|
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: Talarrubias | Statement: [Province of Badajoz, contains, Talarrubias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talarrubias Context triple: [Province of Badajoz, contains, Talarrubias]
-
A.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
B.
Rebollo
Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
-
C.
Almendros
Almendros is a Spanish surname most notably associated with Néstor Almendros, the acclaimed cinematographer known for his work on films such as "Days of Heaven."
-
D.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
E.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
- 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: Talarrubias Triple: [Province of Badajoz, contains, Talarrubias]
Generated description
Talarrubias is a municipality in the Extremadura region of western Spain, known for its rural character and proximity to the La Serena reservoir.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Talarrubias Target entity description: Talarrubias is a municipality in the Extremadura region of western Spain, known for its rural character and proximity to the La Serena reservoir.
-
A.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
B.
Rebollo
Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
-
C.
Almendros
Almendros is a Spanish surname most notably associated with Néstor Almendros, the acclaimed cinematographer known for his work on films such as "Days of Heaven."
-
D.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
E.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3beae88190a91af2c9a7def8f8 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fede3ef86481908b21bb8c43e490a0 |
completed | May 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedec501408190831c1cfa38c0db15 |
completed | May 9, 2026, 7:14 a.m. |
Created at: April 10, 2026, 3:12 a.m.