Triple
T36899061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSA catalog |
E911977
|
entity |
| Predicate | containsObjectsOfType |
P58911
|
FINISHED |
| Object | spiral galaxies |
—
|
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: spiral galaxies | Statement: [RSA catalog, containsObjectsOfType, spiral galaxies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsObjectsOfType Context triple: [RSA catalog, containsObjectsOfType, spiral galaxies]
-
A.
hasObjectTypes
Indicates that something is associated with one or more specific categories or types of objects.
-
B.
includesTypeOfObject
chosen
Indicates that one entity contains or encompasses another entity that is a specific type or category of object.
-
C.
containsObjectsDiscoveredBy
Indicates that one entity includes or holds objects that were discovered or identified by another entity.
-
D.
containsObjectsBeyond
Indicates that a container or space holds additional objects beyond a specified set, limit, or boundary.
-
E.
hasNumberOfObjects
Indicates that an entity is associated with a specific count or quantity of objects.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a014f7602988190b8f86cb431a9cf12 |
completed | May 11, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_6a014a70ea748190bd86fb9f218103ba |
completed | May 11, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:13 p.m.