Triple
T4847839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirabell Palace |
E108334
|
entity |
| Predicate | MarbleHallUse |
P59921
|
FINISHED |
| Object | wedding ceremonies |
—
|
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: wedding ceremonies | Statement: [Mirabell Palace, MarbleHallUse, wedding ceremonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MarbleHallUse Context triple: [Mirabell Palace, MarbleHallUse, wedding ceremonies]
-
A.
hasMainHallType
Indicates the specific category or kind of main hall associated with an entity.
-
B.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
-
C.
hall
Indicates that an entity is a hall, i.e., a large room or building space used for gatherings, events, or passage.
-
D.
hasFoyer
Indicates that an entity includes or is equipped with a foyer as part of its structure or layout.
-
E.
usedInMonument
Indicates that something serves as a material, component, or element incorporated into the construction or design of a monument.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.