Triple
T18582644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Fala de Jálama |
E454153
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Fala de Jálama |
—
|
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: Fala de Jálama | Statement: [A Fala de Jálama, alsoKnownAs, Fala de Jálama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fala de Jálama Context triple: [A Fala de Jálama, alsoKnownAs, Fala de Jálama]
-
A.
A Fala de Jálama
chosen
A Fala de Jálama is a minority Romance language variety spoken in a few villages of the Jálama Valley in western Spain, closely related to Galician-Portuguese.
-
B.
La Jara
La Jara is a small town in southern Colorado that serves as the primary population and commercial center of Conejos County.
-
C.
Lord of Béjar
The Lord of Béjar was a hereditary noble title in the Crown of Castile associated with the powerful Zúñiga family and the seigneurial domain centered on the town of Béjar in western Spain.
-
D.
La Peñita de Jaltemba
La Peñita de Jaltemba is a small coastal town on Mexico’s Pacific coast known for its beaches, fishing, and relaxed tourist atmosphere.
-
E.
Lamas e Cercal
Lamas e Cercal is a civil parish in the municipality of Cadaval, located in the Lisbon District of Portugal.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d10b1c8190a401df810b7290c9 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:44 a.m.