Triple
T10697279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beta Capricorni |
E252176
|
entity |
| Predicate | observationalUse |
P20345
|
FINISHED |
| Object | naked-eye navigation aid |
—
|
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: naked-eye navigation aid | Statement: [Beta Capricorni, observationalUse, naked-eye navigation aid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationalUse Context triple: [Beta Capricorni, observationalUse, naked-eye navigation aid]
-
A.
observationalCategory
Indicates that one entity classifies or groups another entity based on the type or category of observation it represents.
-
B.
observationalProperty
Indicates a characteristic or attribute of an entity that can be observed or measured, typically used to describe how it appears or behaves under observation.
-
C.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
D.
observationalStatus
Indicates the current state or condition of an observation, such as whether it has been made, recorded, verified, or remains pending.
-
E.
observedVia
chosen
Indicates that something is perceived, detected, or measured through a particular medium, instrument, method, or channel.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd89390c8190969ab2b4a79d5818 |
completed | April 9, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:12 p.m.