Triple
T6065767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sérgio Bernardes |
E135153
|
entity |
| Predicate | signatureBuildingType |
P35930
|
FINISHED |
| Object | pavilions |
—
|
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: pavilions | Statement: [Sérgio Bernardes, signatureBuildingType, pavilions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signatureBuildingType Context triple: [Sérgio Bernardes, signatureBuildingType, pavilions]
-
A.
hasSignatureBuilding
chosen
Indicates that an entity possesses or is associated with a distinctive, emblematic building that serves as its primary or most recognizable physical structure.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
originalBuildingType
Indicates the type or category of building that something was initially constructed or designated to be, before any later changes or repurposing.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
signatureWorkType
Indicates the specific category or type of work that serves as a defining or primary example associated with an 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573df7508190bbb5b496188b2f3e |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.