Triple
T14974304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Palencia |
E373403
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Dueñas
Dueñas is a historic town in northern Spain’s Castile and León region, noted for its medieval architecture and cultural heritage.
|
E1130363
|
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: Dueñas | Statement: [Province of Palencia, contains, Dueñas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dueñas Context triple: [Province of Palencia, contains, Dueñas]
-
A.
Santamaría
Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
-
B.
María Sol
María Sol is the younger sister of Argentine football star Lionel Messi and a member of the well-known Messi family.
-
C.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
D.
Concha Jerez
Concha Jerez is a Spanish conceptual artist known for her pioneering work in installation and performance art, often addressing themes of censorship, memory, and political repression.
-
E.
Pilar de la Tejuela
Pilar de la Tejuela is a historic stone fountain and watering place located in Alcalá la Real, Spain, notable for its traditional architectural style and local cultural significance.
- 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: Dueñas Triple: [Province of Palencia, contains, Dueñas]
Generated description
Dueñas is a historic town in northern Spain’s Castile and León region, noted for its medieval architecture and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dueñas Target entity description: Dueñas is a historic town in northern Spain’s Castile and León region, noted for its medieval architecture and cultural heritage.
-
A.
Santamaría
Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
-
B.
María Sol
María Sol is the younger sister of Argentine football star Lionel Messi and a member of the well-known Messi family.
-
C.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
D.
Concha Jerez
Concha Jerez is a Spanish conceptual artist known for her pioneering work in installation and performance art, often addressing themes of censorship, memory, and political repression.
-
E.
Pilar de la Tejuela
Pilar de la Tejuela is a historic stone fountain and watering place located in Alcalá la Real, Spain, notable for its traditional architectural style and local cultural significance.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8beac05c8190bf19ec8bd1eab2d8 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8fcc19e08190a0d11c8310b8625f |
completed | May 9, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe91a86ae881908b492a4f255866b9 |
completed | May 9, 2026, 1:45 a.m. |
Created at: April 10, 2026, 2:51 a.m.