Triple
T19468595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leading Arm |
E487062
|
entity |
| Predicate | angularExtent |
P6952
|
FINISHED |
| Object | over 60 degrees on the sky |
—
|
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: over 60 degrees on the sky | Statement: [Leading Arm, angularExtent, over 60 degrees on the sky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angularExtent Context triple: [Leading Arm, angularExtent, over 60 degrees on the sky]
-
A.
directionalExtent
Indicates the directional span or reach of something from a reference point, specifying how far it extends along a particular direction.
-
B.
maximumExtent
Indicates the greatest or furthest degree, size, or range to which something can extend or apply within a given context.
-
C.
originalExtent
Indicates the total size or scope that something initially had before any reduction, alteration, or loss.
-
D.
verticalExtent
Indicates the total height or vertical span of an entity or region from its lowest to highest point.
-
E.
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.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e4b230819097c8804ee91988ea |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.