Triple
T11317146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Hercules Cluster |
E267995
|
entity |
| Predicate | angularDiameter |
P6952
|
FINISHED |
| Object | about 20 arcminutes |
—
|
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 20 arcminutes | Statement: [Great Hercules Cluster, angularDiameter, about 20 arcminutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angularDiameter Context triple: [Great Hercules Cluster, angularDiameter, about 20 arcminutes]
-
A.
angularSize
chosen
Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
-
B.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
-
C.
averageDiameter
Indicates the mean value of the diameters of a set of objects or instances in the relationship.
-
D.
hasEquatorialDiameter_km
Indicates the measurement, in kilometers, of an object's diameter across its equator.
-
E.
hasPolarDiameter_km
Indicates the length of an object's diameter measured from pole to pole, expressed in kilometers.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.