Triple
T4618503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M32 |
E100923
|
entity |
| Predicate | hasStarFormation |
P22857
|
FINISHED |
| Object | very low current star formation |
—
|
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: very low current star formation | Statement: [M32, hasStarFormation, very low current star formation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStarFormation Context triple: [M32, hasStarFormation, very low current star formation]
-
A.
starFormationActivity
chosen
Indicates the level or intensity of ongoing star formation occurring within an astronomical object or region.
-
B.
starFormationRate
Indicates the rate at which new stars are being formed within a given astronomical region or object over time.
-
C.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
D.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
E.
hasBrightStar
Indicates that one entity possesses, contains, or is associated with a star characterized by high brightness.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.