Triple
T19321770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 1566 |
E483241
|
entity |
| Predicate | hasNucleusType |
P131835
|
FINISHED |
| Object | variable Seyfert nucleus |
—
|
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: variable Seyfert nucleus | Statement: [NGC 1566, hasNucleusType, variable Seyfert nucleus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNucleusType Context triple: [NGC 1566, hasNucleusType, variable Seyfert nucleus]
-
A.
hasActiveNucleusType
Indicates that an entity possesses a nucleus characterized by a specific active type or functional state.
-
B.
isNucleusOf
Indicates that one entity functions as the central or most important core component of another entity.
-
C.
nucleusType
chosen
Indicates the specific kind or classification of nucleus associated with an entity.
-
D.
hasActiveNucleus
Indicates that the referenced entity possesses a nucleus that is currently functioning or exhibiting biological activity.
-
E.
hasNuclearRegion
Indicates that an entity possesses or includes a specific nuclear region as a distinct part or component.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d88951081909f7ce6e0610c7258 |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.