Triple
T3886092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SN 1954J |
E92943
|
entity |
| Predicate | hostGalaxyDistanceEstimate |
P51638
|
FINISHED |
| Object | about 3 megaparsecs |
—
|
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: about 3 megaparsecs | Statement: [SN 1954J, hostGalaxyDistanceEstimate, about 3 megaparsecs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostGalaxyDistanceEstimate Context triple: [SN 1954J, hostGalaxyDistanceEstimate, about 3 megaparsecs]
-
A.
foregroundGalaxyDistance
Indicates the measured or estimated distance between a foreground galaxy and the observer or reference point in a given astronomical context.
-
B.
approximateNumberOfGalaxies
Indicates an estimated or roughly calculated count of galaxies associated with a given subject.
-
C.
distanceFromMilkyWay
Indicates the measured or estimated spatial distance between an entity and the Milky Way galaxy.
-
D.
distanceToAndromedaGalaxy
Indicates the measured or calculated spatial distance between a given entity and the Andromeda Galaxy.
-
E.
approximateStellarCount
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec942bfc8190a398fe370715a28b |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.