Triple
T1196835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral of Brasília |
E25685
|
entity |
| Predicate | hasSculptureType |
P25695
|
FINISHED |
| Object | angel sculptures |
—
|
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: angel sculptures | Statement: [Cathedral of Brasília, hasSculptureType, angel sculptures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSculptureType Context triple: [Cathedral of Brasília, hasSculptureType, angel sculptures]
-
A.
hasSculptor
Indicates that one entity serves as the sculptor (creator of a sculpture) of another entity.
-
B.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
C.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
-
D.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
-
E.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9a305c819091513394f1b67784 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:46 p.m.