Triple
T20147396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldwell catalogue |
E491338
|
entity |
| Predicate | entryCount |
P59623
|
FINISHED |
| Object | 109 deep-sky objects |
—
|
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: 109 deep-sky objects | Statement: [Caldwell catalogue, entryCount, 109 deep-sky objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entryCount Context triple: [Caldwell catalogue, entryCount, 109 deep-sky objects]
-
A.
numberOfEntries
chosen
Indicates the total count of individual items, records, or instances associated with a given entity or context.
-
B.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
count
Indicates the numerical quantity or total number of instances of a specified entity or event.
-
D.
areCountedBy
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
-
E.
registerCount
Indicates the number of registers associated with or allocated to a given entity in a system.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679f43bc8190a1cd4768b3e87505 |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.