Triple
T19281111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 19 |
E482188
|
entity |
| Predicate | isVisibleFromEarthWith |
P104770
|
FINISHED |
| Object | binoculars under dark skies |
—
|
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: binoculars under dark skies | Statement: [Messier 19, isVisibleFromEarthWith, binoculars under dark skies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVisibleFromEarthWith Context triple: [Messier 19, isVisibleFromEarthWith, binoculars under dark skies]
-
A.
canBeSeenFromEarthWith
chosen
Indicates that one entity is visible from Earth using the specified instrument, method, or observational aid.
-
B.
visibleFromEarth
Indicates that the object can be observed from Earth, either with the naked eye or with appropriate instruments, under suitable viewing conditions.
-
C.
visibleToNakedEye
Indicates that something can be perceived directly without the aid of optical instruments such as telescopes, microscopes, or binoculars.
-
D.
visibleInSmallTelescope
Indicates that the object can be seen using a small telescope under typical observing conditions.
-
E.
hasApproximateDistanceFromEarth
Indicates that there is an estimated or non-exact distance between an entity and Earth.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbff1e6c819094ae6a5ad40adb65 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:30 p.m.