Triple
T23292996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agostino |
E590084
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Agustín |
—
|
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: Agustín | Statement: [Agostino, hasVariant, Agustín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agustín Context triple: [Agostino, hasVariant, Agustín]
-
A.
Augustin
chosen
Augustin is a given name of Latin origin, notably borne by the French physicist Augustin-Jean Fresnel, a pioneer in the wave theory of light.
-
B.
Augustin
Augustin is a commune in Brașov County, Romania, situated in the historical region of Țara Bârsei (Burzenland).
-
C.
Agustinus
Agustinus is an Indonesian given name, often derived from the Latin name Augustine and commonly shortened to "Agus."
-
D.
El Agustino
El Agustino is an urban district of Lima, Peru, known for its dense residential areas and working-class character on the eastern side of the city.
-
E.
Saint-Augustin
Saint-Augustin is a Paris Métro station in the 8th arrondissement, located near the Église Saint-Augustin and serving as part of the central Paris underground transit network.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:02 p.m.