Triple
T21711642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Cáceres |
E535920
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Cáceres |
—
|
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: Cáceres | Statement: [Province of Cáceres, capital, Cáceres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cáceres Context triple: [Province of Cáceres, capital, Cáceres]
-
A.
Cáceres
Cáceres is a municipality in the Brazilian state of Mato Grosso, known for its location along the Paraguay River and as a gateway to the Pantanal wetlands.
-
B.
Cáceres
chosen
Cáceres is a historic Spanish city renowned for its exceptionally well-preserved medieval and Renaissance old town, designated as a UNESCO World Heritage Site.
-
C.
Hervás
Hervás is a historic town in the province of Cáceres, Extremadura, Spain, known for its well-preserved Jewish quarter and scenic setting in the Ambroz Valley.
-
D.
Béjar
Béjar is a historic town in the province of Salamanca, Spain, known for its textile heritage and scenic setting in the Sierra de Béjar mountains.
-
E.
Ávila
Ávila is a historic walled city in central Spain, renowned for its remarkably well-preserved medieval fortifications and Romanesque and Gothic architecture.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53450108190ba1c9e3cc3a0ab89 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.