Triple
T14781265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamudio |
E347392
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object |
Zamudio
Zamudio is a municipality in the province of Biscay in Spain’s Basque Country, known for hosting the Zamudio Technology Park and being part of the Greater Bilbao metropolitan area.
|
E1120986
|
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: Zamudio | Statement: [Zamudio, hasOfficialName, Zamudio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zamudio Context triple: [Zamudio, hasOfficialName, Zamudio]
-
A.
Navarrete
Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
-
B.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
C.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
D.
Briceño
Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
-
E.
Azuza
Azuza is a city in Los Angeles County, California, known for being a suburban community in the San Gabriel Valley.
- 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: Zamudio Triple: [Zamudio, hasOfficialName, Zamudio]
Generated description
Zamudio is a municipality in the province of Biscay in Spain’s Basque Country, known for hosting the Zamudio Technology Park and being part of the Greater Bilbao metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zamudio Target entity description: Zamudio is a municipality in the province of Biscay in Spain’s Basque Country, known for hosting the Zamudio Technology Park and being part of the Greater Bilbao metropolitan area.
-
A.
Navarrete
Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
-
B.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
C.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
D.
Briceño
Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
-
E.
Azuza
Azuza is a city in Los Angeles County, California, known for being a suburban community in the San Gabriel Valley.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b626c48190a6aa9eda43539246 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe29d6a434819093498b7878f4ca85 |
completed | May 8, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2df546408190b9aa83f5e0bee66d |
completed | May 8, 2026, 6:39 p.m. |
Created at: April 10, 2026, 1:31 a.m.