Triple
T10043933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gipuzkoa |
E205362
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Eibar
Eibar is an industrial town in the Basque Country of northern Spain, known historically for its arms manufacturing and its football club SD Eibar.
|
E837509
|
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: Eibar | Statement: [Gipuzkoa, hasCity, Eibar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eibar Context triple: [Gipuzkoa, hasCity, Eibar]
-
A.
Barakaldo
Barakaldo is a major industrial and residential city in the Basque Country in northern Spain, located near Bilbao along the Nervión River.
-
B.
Barsa
Barsa is a town located in the Koura District of northern Lebanon.
-
C.
Sestao
Sestao is an industrial town and municipality in the Basque province of Biscay in northern Spain, situated along the Nervión River near Bilbao.
-
D.
Portugalete
Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
-
E.
Zarautz
Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
- 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: Eibar Triple: [Gipuzkoa, hasCity, Eibar]
Generated description
Eibar is an industrial town in the Basque Country of northern Spain, known historically for its arms manufacturing and its football club SD Eibar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eibar Target entity description: Eibar is an industrial town in the Basque Country of northern Spain, known historically for its arms manufacturing and its football club SD Eibar.
-
A.
Barakaldo
Barakaldo is a major industrial and residential city in the Basque Country in northern Spain, located near Bilbao along the Nervión River.
-
B.
Barsa
Barsa is a town located in the Koura District of northern Lebanon.
-
C.
Sestao
Sestao is an industrial town and municipality in the Basque province of Biscay in northern Spain, situated along the Nervión River near Bilbao.
-
D.
Portugalete
Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
-
E.
Zarautz
Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf61b3e08190b69bcf67b6a95342 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282801c548190b6031bdde17f6e14 |
completed | April 5, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69d283508a24819086f384a7852f1be9 |
completed | April 5, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d284105be08190a703cea6ef5d6cbc |
completed | April 5, 2026, 3:47 p.m. |
Created at: March 30, 2026, 8:55 p.m.