Triple
T16296759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 2403 |
E395666
|
entity |
| Predicate | supernovaTypeObserved |
P122575
|
FINISHED |
| Object | Type II-P |
—
|
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: Type II-P | Statement: [NGC 2403, supernovaTypeObserved, Type II-P]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supernovaTypeObserved Context triple: [NGC 2403, supernovaTypeObserved, Type II-P]
-
A.
hasSupernovaRemnant
Indicates that an astronomical object is associated with or gives rise to a specific supernova remnant.
-
B.
supernovaFields
Indicates a relationship where certain fields or regions are associated with, influenced by, or designated for observations or data related to supernova events.
-
C.
supernovaTimescaleEstimate
Indicates an estimated duration or characteristic timescale associated with a supernova event.
-
D.
notableVariableStar
Indicates that the subject is a variable star recognized as particularly significant or noteworthy in some context (e.g., scientifically, historically, or observationally).
-
E.
astronomicalType
Indicates the classification relationship that specifies what kind of astronomical object or phenomenon something is (e.g., star, galaxy, planet).
- F. None of above. chosen
Provenance (4 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2dcdac819083918f0964dd5666 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.