Triple
T6660056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamplona |
E151451
|
entity |
| Predicate | hasBasqueName |
P17751
|
FINISHED |
| Object |
Iruña
Iruña is the Basque name for the city of Pamplona, the historic capital of Navarre in northern Spain.
|
E609355
|
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: Iruña | Statement: [Pamplona, hasBasqueName, Iruña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iruña Context triple: [Pamplona, hasBasqueName, Iruña]
-
A.
Calatayud
Calatayud is a historic town in northeastern Spain known for its Mudéjar architecture and strategic location along the Jalón River.
-
B.
Bailén
Bailén is a town in the province of Jaén in Andalusia, Spain, historically known for the 1808 Battle of Bailén during the Peninsular War.
-
C.
Alagón
Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
-
D.
Alagón
Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
-
E.
Nalón
The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
- 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: Iruña Triple: [Pamplona, hasBasqueName, Iruña]
Generated description
Iruña is the Basque name for the city of Pamplona, the historic capital of Navarre in northern Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iruña Target entity description: Iruña is the Basque name for the city of Pamplona, the historic capital of Navarre in northern Spain.
-
A.
Calatayud
Calatayud is a historic town in northeastern Spain known for its Mudéjar architecture and strategic location along the Jalón River.
-
B.
Bailén
Bailén is a town in the province of Jaén in Andalusia, Spain, historically known for the 1808 Battle of Bailén during the Peninsular War.
-
C.
Alagón
Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
-
D.
Alagón
Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
-
E.
Nalón
The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b071cc6c81909d7df1841c645661 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0738a88190802abaeb0ab0a927 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a2a150819091ec6e6d2905abcb |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1344dd4819096c1d3e216320c4d |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:02 p.m.