Triple
T11104252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarautz |
E262586
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Costa Urola
Costa Urola is a coastal comarca in the Basque Country of northern Spain, known for its beaches, fishing towns, and tourism centered around the Bay of Biscay.
|
E905483
|
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: Costa Urola | Statement: [Zarautz, partOf, Costa Urola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costa Urola Context triple: [Zarautz, partOf, Costa Urola]
-
A.
Ramos da Costa
Ramos da Costa is a Portuguese-language surname associated with individuals such as Francisco Ramos da Costa.
-
B.
O’Donojú
O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
-
C.
Echeandia
Echeandia is a genus of flowering plants in the asparagus order, known for its grass-like leaves and often yellow, star-shaped flowers native to the Americas.
-
D.
Gaspardo
Gaspardo is an Italian variant of the given name Gaspard, commonly used as a masculine first name and sometimes as a surname.
-
E.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
- 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: Costa Urola Triple: [Zarautz, partOf, Costa Urola]
Generated description
Costa Urola is a coastal comarca in the Basque Country of northern Spain, known for its beaches, fishing towns, and tourism centered around the Bay of Biscay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Costa Urola Target entity description: Costa Urola is a coastal comarca in the Basque Country of northern Spain, known for its beaches, fishing towns, and tourism centered around the Bay of Biscay.
-
A.
Ramos da Costa
Ramos da Costa is a Portuguese-language surname associated with individuals such as Francisco Ramos da Costa.
-
B.
O’Donojú
O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
-
C.
Echeandia
Echeandia is a genus of flowering plants in the asparagus order, known for its grass-like leaves and often yellow, star-shaped flowers native to the Americas.
-
D.
Gaspardo
Gaspardo is an Italian variant of the given name Gaspard, commonly used as a masculine first name and sometimes as a surname.
-
E.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a2d33948190ac29d174694a78e5 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d6d03788190acc9748a3ba0d0ab |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42f3dd02c8190b40bc692c24b2ff4 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4375eaf448190a17f8df1e83145e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:27 p.m.