Triple
T20580397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallegos |
E505635
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Gallego |
—
|
NE NERFINISHED |
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: Gallego | Statement: [Gallegos, hasVariant, Gallego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gallego Context triple: [Gallegos, hasVariant, Gallego]
-
A.
Gallego
chosen
Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
-
B.
Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
-
C.
Navarro-Aragonese
Navarro-Aragonese is a medieval Romance language of the Iberian Peninsula, historically spoken in parts of Navarre and Aragon and known from early written records such as the Glosas Emilianenses.
-
D.
Gallega
Gallega was one of the ships in Christopher Columbus’s final transatlantic expedition, the fourth voyage undertaken to explore parts of Central and South America.
-
E.
Migueleño
Migueleño is an extinct Chumashan language once spoken by the Indigenous Chumash people in what is now Southern California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90dd3e881908915debe1f1e8509 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.