Triple
T11155225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bragan Breviary |
E263887
|
entity |
| Predicate | hasLocalFeatures |
P71987
|
FINISHED |
| Object | Braga-specific saints and feasts |
—
|
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: Braga-specific saints and feasts | Statement: [Bragan Breviary, hasLocalFeatures, Braga-specific saints and feasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalFeatures Context triple: [Bragan Breviary, hasLocalFeatures, Braga-specific saints and feasts]
-
A.
hasLocalCharacter
chosen
Indicates that something possesses qualities, features, or significance that are specific to a particular locality or region.
-
B.
isLocalLandmark
Indicates that something is recognized as a notable or significant landmark within a specific local area or community.
-
C.
hasDistinctFeature
Indicates that an entity possesses a specific characteristic or attribute that differentiates it from others.
-
D.
hasLocalManagement
Indicates that an entity is managed, administered, or overseen by an authority or management structure located within the same local area or jurisdiction.
-
E.
hasPrimaryFeature
Indicates that an entity possesses a main or most characteristic feature that defines or distinguishes it.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8741cd48190b7cc29c6b6bc54ff |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.