Triple
T4617800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open cluster M25 |
E100907
|
entity |
| Predicate | visibleWith |
P22648
|
FINISHED |
| Object | binoculars |
—
|
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 | Statement: [Open cluster M25, visibleWith, binoculars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visibleWith Context triple: [Open cluster M25, visibleWith, binoculars]
-
A.
visibleAt
Indicates that one entity can be seen or perceived from a specific location, viewpoint, or context at a given time.
-
B.
visibleRemains
Indicates that some physical remnants of an entity or event can still be seen or visually detected.
-
C.
canBeSeenWith
chosen
Indicates that two entities are observable together in the same context, setting, or time.
-
D.
isSeeOf
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
-
E.
visibilityRequirement
Indicates that one entity must be visible or perceivable under specified conditions for another entity, action, or rule to apply.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.