Triple
T13637983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evening Star |
E325899
|
entity |
| Predicate | brightnessRank |
P22293
|
FINISHED |
| Object | one of the brightest objects in the night sky |
—
|
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: one of the brightest objects in the night sky | Statement: [Evening Star, brightnessRank, one of the brightest objects in the night sky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brightnessRank Context triple: [Evening Star, brightnessRank, one of the brightest objects in the night sky]
-
A.
apparentBrightness
chosen
Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
-
B.
surfaceBrightnessClass
Indicates the qualitative classification of how bright an extended object (such as a galaxy) appears per unit area on the sky.
-
C.
rankByProminence
Indicates that entities are ordered or assigned a position based on their level of prominence or notability relative to one another.
-
D.
capacityRank
Indicates the relative ordering of entities based on how much capacity (e.g., volume, throughput, or capability) they possess compared to others.
-
E.
rankingBasis
Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.