Triple
T20147389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldwell catalogue |
E491338
|
entity |
| Predicate | includesObjectTypes |
P58911
|
FINISHED |
| Object | open clusters |
—
|
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: open clusters | Statement: [Caldwell catalogue, includesObjectTypes, open clusters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesObjectTypes Context triple: [Caldwell catalogue, includesObjectTypes, open clusters]
-
A.
includesTypeOfObject
chosen
Indicates that one entity contains or encompasses another entity that is a specific type or category of object.
-
B.
hasObjectTypes
Indicates that something is associated with one or more specific categories or types of objects.
-
C.
hasObjectiveTypes
Indicates that an entity is associated with one or more specific types or categories of objectives it aims to achieve.
-
D.
includesFeatureTypes
Indicates that an entity contains or encompasses specific types of features as part of its composition or definition.
-
E.
includedEntityType
Indicates that one entity type is contained within, or forms a component part of, another entity type.
- 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.