Triple
T19295017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa da Música |
E482540
|
entity |
| Predicate | hasSmallHallCapacity |
P135163
|
FINISHED |
| Object | 300 |
—
|
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: 300 | Statement: [Casa da Música, hasSmallHallCapacity, 300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmallHallCapacity Context triple: [Casa da Música, hasSmallHallCapacity, 300]
-
A.
hasSecondaryHallCapacity
Indicates that an entity possesses a specified capacity for a secondary hall or auxiliary event space.
-
B.
roomCapacity
Indicates the maximum number of people or occupants that a room is designed or allowed to hold.
-
C.
hasSingleHall
Indicates that an entity possesses exactly one hall within its structure or domain.
-
D.
mainHallCapacity
Indicates the maximum number of people that the main hall can accommodate at one time.
-
E.
hasSmallTerminalBuilding
Indicates that an entity possesses a terminal building that is relatively small in size or capacity.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc84500c81908ac53711335ad2d9 |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:31 p.m.