Triple
T33829910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M30 |
E867066
|
entity |
| Predicate | visibilityInBinoculars |
P69293
|
FINISHED |
| Object | visible as fuzzy patch |
—
|
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: visible as fuzzy patch | Statement: [M30, visibilityInBinoculars, visible as fuzzy patch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visibilityInBinoculars Context triple: [M30, visibilityInBinoculars, visible as fuzzy patch]
-
A.
visibleInBinoculars
chosen
Indicates that one entity can be seen through binoculars from the vantage point of another entity.
-
B.
visibleToNakedEye
Indicates that something can be perceived directly without the aid of optical instruments such as telescopes, microscopes, or binoculars.
-
C.
canBeSeenWith
Indicates that two entities are observable together in the same context, setting, or time.
-
D.
visibleInSmallTelescope
Indicates that the object can be seen using a small telescope under typical observing conditions.
-
E.
hasNightVision
Indicates that an entity possesses the ability to see effectively in low-light or dark conditions.
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:46 a.m.