Triple
T17056460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Txikon |
E413833
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Txikon
Txikon is a Basque surname most prominently associated with Spanish mountaineer Alex Txikon, known for his high-altitude and winter expeditions.
|
E1247857
|
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: Txikon | Statement: [Alex Txikon, familyName, Txikon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Txikon Context triple: [Alex Txikon, familyName, Txikon]
-
A.
Getxo
Getxo is a coastal town in the Basque Country of northern Spain, known for its beaches, historic neighborhoods, and proximity to Bilbao.
-
B.
Zabaltegi
Zabaltegi is a non-competitive, open-themed section of the San Sebastián International Film Festival that showcases a diverse selection of innovative and noteworthy films.
-
C.
Pasaia
Pasaia is a coastal town and important port in the province of Gipuzkoa in Spain’s Basque Country, situated along a natural bay on the Bay of Biscay.
-
D.
Plentzia
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
-
E.
Hondarribia
Hondarribia is a historic coastal town in Spain’s Basque Country, known for its well-preserved old quarter, fishing port, and location on the border with France.
- 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: Txikon Triple: [Alex Txikon, familyName, Txikon]
Generated description
Txikon is a Basque surname most prominently associated with Spanish mountaineer Alex Txikon, known for his high-altitude and winter expeditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Txikon Target entity description: Txikon is a Basque surname most prominently associated with Spanish mountaineer Alex Txikon, known for his high-altitude and winter expeditions.
-
A.
Getxo
Getxo is a coastal town in the Basque Country of northern Spain, known for its beaches, historic neighborhoods, and proximity to Bilbao.
-
B.
Zabaltegi
Zabaltegi is a non-competitive, open-themed section of the San Sebastián International Film Festival that showcases a diverse selection of innovative and noteworthy films.
-
C.
Pasaia
Pasaia is a coastal town and important port in the province of Gipuzkoa in Spain’s Basque Country, situated along a natural bay on the Bay of Biscay.
-
D.
Plentzia
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
-
E.
Hondarribia
Hondarribia is a historic coastal town in Spain’s Basque Country, known for its well-preserved old quarter, fishing port, and location on the border with France.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7a96288190bd985f79c3f55623 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012346bcfc819093cd922baa94e186 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a0125420bd08190b969849a206a67d1 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125c7c4f48190b570dabd341b1ef1 |
completed | May 11, 2026, 12:41 a.m. |
Created at: April 10, 2026, 5:34 a.m.