Triple
T10240553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arturo |
E243576
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Arturo (Galician) |
E243576
|
NE FINISHED |
How this triple was built (2 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: Arturo (Galician) | Statement: [Arturo, hasCognate, Arturo (Galician)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arturo (Galician) Context triple: [Arturo, hasCognate, Arturo (Galician)]
-
A.
Arturo
chosen
Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
-
B.
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
-
C.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
D.
Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
-
E.
Graciano
Graciano is a dark-skinned Spanish wine grape variety known for producing deeply colored, aromatic, and age-worthy red wines, particularly in blends from regions like Rioja.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21e27f08190b956d351a75c7c52 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f780c7808190993e7c37cb4d18a3 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:24 a.m.