Triple
T2243979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | León |
E49458
|
entity |
| Predicate | recognizedLanguage |
P238
|
FINISHED |
| Object | Leonese |
E232056
|
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: Leonese | Statement: [León, recognizedLanguage, Leonese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonese Context triple: [León, recognizedLanguage, Leonese]
-
A.
Leonese
chosen
Leonese is a Romance language of the Astur-Leonese group traditionally spoken in parts of northwestern Spain, particularly in the historical region of León.
-
B.
Haketia
Haketia is a Judeo-Spanish dialect historically spoken by Sephardic Jews in northern Morocco and parts of Gibraltar, characterized by strong influences from Moroccan Arabic and Hebrew.
-
C.
Aragon
Aragon is an autonomous community in northeastern Spain, historically significant as a former kingdom and as a key battleground region during major conflicts such as the Spanish Civil War.
-
D.
Llanito
Llanito is a unique vernacular spoken in Gibraltar that blends Andalusian Spanish, British English, and elements from other Mediterranean languages.
-
E.
Tasqueña
Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0c157e88190a5bc876d9591a24b |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b10c38c8190af7d6d99f9377df1 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.