Triple
T6891770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biscay |
E159064
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Santurtzi
Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
|
E630199
|
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: Santurtzi | Statement: [Biscay, contains, Santurtzi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santurtzi Context triple: [Biscay, contains, Santurtzi]
-
A.
Zarautz
Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
-
B.
Portugalete
Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
-
C.
Errenteria
Errenteria is a town and municipality in the province of Gipuzkoa in Spain’s Basque Country, known for its industrial heritage and proximity to San Sebastián.
-
D.
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.
-
E.
Arzachena
Arzachena is a town in northeastern Sardinia, Italy, known for its archaeological sites and proximity to the Costa Smeralda resort area.
- 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: Santurtzi Triple: [Biscay, contains, Santurtzi]
Generated description
Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santurtzi Target entity description: Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
-
A.
Zarautz
Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
-
B.
Portugalete
Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
-
C.
Errenteria
Errenteria is a town and municipality in the province of Gipuzkoa in Spain’s Basque Country, known for its industrial heritage and proximity to San Sebastián.
-
D.
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.
-
E.
Arzachena
Arzachena is a town in northeastern Sardinia, Italy, known for its archaeological sites and proximity to the Costa Smeralda resort area.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d92ecbdc8190992f9c7f4f33f4c4 |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7584189008190b908f530a4525885 |
completed | March 28, 2026, 4:25 a.m. |
| NEDg | Description generation | batch_69c758db4240819083880efae7af6e11 |
completed | March 28, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c759299b5481908181160055f5757b |
completed | March 28, 2026, 4:29 a.m. |
Created at: March 27, 2026, 2:24 p.m.