Triple
T2357169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanile |
E47582
|
entity |
| Predicate | carillonType |
P38728
|
FINISHED |
| Object | full concert carillon |
—
|
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: full concert carillon | Statement: [Campanile, carillonType, full concert carillon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carillonType Context triple: [Campanile, carillonType, full concert carillon]
-
A.
carillonMaker
Indicates a relationship where an entity is the maker or builder of a carillon.
-
B.
hasCarillonSince
Indicates that an entity has possessed or been equipped with a carillon continuously from a specified point in time.
-
C.
bellFoundry
Indicates that an entity operates as a foundry where bells are manufactured or cast.
-
D.
chimes
Indicates that one entity produces a clear, resonant ringing sound, often as a signal or in response to a particular time or event.
-
E.
numberOfBells
Indicates the quantity of bells associated with or present in a given entity or context.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcb7ebb708190ba7edffee3c45d8b |
completed | March 7, 2026, 6:53 a.m. |
Created at: March 4, 2026, 7:54 p.m.