Triple
T35055841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semana Santa de Cáceres |
E1011460
|
entity |
| Predicate | processionsRoute |
P90234
|
FINISHED |
| Object | medieval streets of Cáceres |
—
|
LITERAL 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: medieval streets of Cáceres | Statement: [Semana Santa de Cáceres, processionsRoute, medieval streets of Cáceres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: processionsRoute Context triple: [Semana Santa de Cáceres, processionsRoute, medieval streets of Cáceres]
-
A.
locationOfProcessions
chosen
Indicates the place where processions occur or are held.
-
B.
processionStartingPoint
Indicates the location or entity where a procession begins or is initiated.
-
C.
processionRouteEndsAt
Indicates that the endpoint or final destination of a procession’s route is a specified location.
-
D.
organizesProcessions
Indicates that an entity is responsible for planning, coordinating, and managing the execution of processions or parades.
-
E.
hasProcessionFrom
Indicates that a procession, ceremony, or formal movement originates from or starts at a specified source location or entity.
- F. None of above.
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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.