Triple
T15581900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type Ia supernovae |
E374518
|
entity |
| Predicate | typicalEjectedMass |
P119301
|
FINISHED |
| Object | on the order of one solar mass |
—
|
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: on the order of one solar mass | Statement: [Type Ia supernovae, typicalEjectedMass, on the order of one solar mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEjectedMass Context triple: [Type Ia supernovae, typicalEjectedMass, on the order of one solar mass]
-
A.
involvesParticleEjection
Indicates that the action or process includes the emission or release of particles from a source.
-
B.
timeOfMassExpulsion
Indicates the specific time at which a mass expulsion event occurs or is carried out.
-
C.
explosiveFillerMass
Indicates the amount of explosive material contained within an object or device.
-
D.
estimatedMassInTonnes
Indicates the approximate mass of an entity expressed in metric tonnes.
-
E.
typicalMuzzleEnergy
Indicates the usual or characteristic amount of muzzle energy associated with a given weapon or ammunition type.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e45ee3c8190a6aee06a5805ca39 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:11 a.m.