Triple
T15365237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comarca de Cuenca de Pamplona |
E367394
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Juslapeña
Juslapeña is a small municipality in northern Spain’s Navarre region, situated within the rural area surrounding the city of Pamplona.
|
E1153395
|
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: Juslapeña | Statement: [Comarca de Cuenca de Pamplona, contains, Juslapeña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juslapeña Context triple: [Comarca de Cuenca de Pamplona, contains, Juslapeña]
-
A.
Jauja
Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
-
B.
Juncal
Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
-
C.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
D.
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.
-
E.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
- 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: Juslapeña Triple: [Comarca de Cuenca de Pamplona, contains, Juslapeña]
Generated description
Juslapeña is a small municipality in northern Spain’s Navarre region, situated within the rural area surrounding the city of Pamplona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juslapeña Target entity description: Juslapeña is a small municipality in northern Spain’s Navarre region, situated within the rural area surrounding the city of Pamplona.
-
A.
Jauja
Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
-
B.
Juncal
Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
-
C.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
D.
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.
-
E.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4cc39c81908a0aff959352f6d5 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0df908848190b05c2ecf64f10b08 |
completed | May 9, 2026, 10:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0e8f3b4481909642c91f1a54843c |
completed | May 9, 2026, 10:38 a.m. |
Created at: April 10, 2026, 3:18 a.m.