Triple
T21915335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centennial carillons |
E541168
|
entity |
| Predicate | typicalNumberOfBells |
P3367
|
FINISHED |
| Object | between 23 and 53 |
—
|
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: between 23 and 53 | Statement: [Centennial carillons, typicalNumberOfBells, between 23 and 53]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNumberOfBells Context triple: [Centennial carillons, typicalNumberOfBells, between 23 and 53]
-
A.
numberOfBells
chosen
Indicates the quantity of bells associated with or present in a given entity or context.
-
B.
originalNumberOfBells
Indicates the initial count of bells associated with an entity before any changes or modifications occur.
-
C.
bellsUsedFor
Indicates that certain bells are employed or utilized for a particular purpose, function, or activity.
-
D.
isLargestBellOf
Indicates that one bell is the largest bell belonging to, or associated with, a particular entity or collection.
-
E.
chimes
Indicates that one entity produces a clear, resonant ringing sound, often as a signal or in response to a particular time or event.
- F. None of above.
Provenance (3 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123366cb88190a42aa741e1245fd9 |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:42 p.m.