Triple
T1170331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palácio da Alvorada |
E24895
|
entity |
| Predicate | hasGroundFloor |
P24577
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Palácio da Alvorada, hasGroundFloor, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGroundFloor Context triple: [Palácio da Alvorada, hasGroundFloor, yes]
-
A.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
B.
hasBasement
Indicates that a building or structure includes a basement level as part of its physical layout.
-
C.
hasGlassFloor
Indicates that one entity possesses or features a floor made of glass.
-
D.
numberOfBasementLevels
Indicates the total count of basement levels associated with a given structure or property.
-
E.
floorCount
Indicates the number of floors or levels that a building or structure has.
- F. None of above. chosen
Provenance (4 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce972cc8190bce0b77cfda6da41 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:45 p.m.