Triple
T15646200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Saladrigas Zayas |
E376182
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Saladrigas
Saladrigas is a Spanish-origin surname most notably associated with Cuban politician and diplomat Carlos Saladrigas Zayas.
|
E1170423
|
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: Saladrigas | Statement: [Carlos Saladrigas Zayas, familyName, Saladrigas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saladrigas Context triple: [Carlos Saladrigas Zayas, familyName, Saladrigas]
-
A.
Bortigiadas
Bortigiadas is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
B.
Salorino
Salorino is a small village and former municipality in the canton of Ticino in southern Switzerland.
-
C.
Tabasalu
Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
-
D.
Silba
Silba is a small Croatian island in the Adriatic Sea known for its car-free environment, tranquil beaches, and picturesque village atmosphere.
-
E.
Strogoula
Strogoula is a prominent mountain peak in the Tzoumerka range of the Pindus Mountains in northwestern Greece, known for its rugged terrain and scenic alpine landscapes.
- 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: Saladrigas Triple: [Carlos Saladrigas Zayas, familyName, Saladrigas]
Generated description
Saladrigas is a Spanish-origin surname most notably associated with Cuban politician and diplomat Carlos Saladrigas Zayas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saladrigas Target entity description: Saladrigas is a Spanish-origin surname most notably associated with Cuban politician and diplomat Carlos Saladrigas Zayas.
-
A.
Bortigiadas
Bortigiadas is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
B.
Salorino
Salorino is a small village and former municipality in the canton of Ticino in southern Switzerland.
-
C.
Tabasalu
Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
-
D.
Silba
Silba is a small Croatian island in the Adriatic Sea known for its car-free environment, tranquil beaches, and picturesque village atmosphere.
-
E.
Strogoula
Strogoula is a prominent mountain peak in the Tzoumerka range of the Pindus Mountains in northwestern Greece, known for its rugged terrain and scenic alpine landscapes.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6790f2288190add8ab0bc0f114bf |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6bc27ef481908f5125ab553b5015 |
completed | May 9, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6c214c7881908ac483dbb8d08f29 |
completed | May 9, 2026, 5:17 p.m. |
Created at: April 10, 2026, 4:15 a.m.