Triple
T12254940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 7317 |
E292074
|
entity |
| Predicate | hasLowStarFormationRate |
P56998
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [NGC 7317, hasLowStarFormationRate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowStarFormationRate Context triple: [NGC 7317, hasLowStarFormationRate, true]
-
A.
hasLowLuminosity
Indicates that an entity emits relatively little light or energy compared to a typical or reference level.
-
B.
isNonStarformingGalaxy
chosen
Indicates that a galaxy does not currently form new stars or has an extremely low rate of star formation.
-
C.
hasStarFormationMode
Indicates the specific manner or process by which star formation occurs in a given astronomical system or region.
-
D.
starFormationRate
Indicates the rate at which new stars are being formed within a given astronomical region or object over time.
-
E.
containsStarFormingRegion
Indicates that one entity (typically a larger astronomical structure) includes within it a region where new stars are actively forming.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.