Triple
T23244903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IC 349 |
E581559
|
entity |
| Predicate | hasApparentSize |
P143354
|
FINISHED |
| Object | about 30 arcseconds (order of magnitude) |
—
|
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 30 arcseconds (order of magnitude) | Statement: [IC 349, hasApparentSize, about 30 arcseconds (order of magnitude)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApparentSize Context triple: [IC 349, hasApparentSize, about 30 arcseconds (order of magnitude)]
-
A.
hasApparentShape
Indicates that one entity is perceived or observed to have a particular shape or form, regardless of its true or physical structure.
-
B.
hasApproximateAngularSize
chosen
Indicates that one entity has an angular size, as seen from another entity or reference point, that is approximately equal to a specified value.
-
C.
hasApparentColor
Indicates that an entity is perceived to have a particular color under given viewing or observational conditions.
-
D.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
-
E.
hasSizeSystem
Indicates that an entity is associated with or defined according to a particular size measurement system.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193ee37c8819091f799506fa532da |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.