Triple
T18458242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 28978 Ixion |
E450959
|
entity |
| Predicate | hasColorIndexB-R |
P131718
|
FINISHED |
| Object | approximately 1.6 |
—
|
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: approximately 1.6 | Statement: [28978 Ixion, hasColorIndexB-R, approximately 1.6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorIndexB-R Context triple: [28978 Ixion, hasColorIndexB-R, approximately 1.6]
-
A.
hasUminusBColorIndex
Indicates that there is a specified U−B color index value characterizing the color difference between two photometric bands in a subject.
-
B.
isBicolor
Indicates that something consists of or displays two distinct colors.
-
C.
colorIndexB−V
Indicates the difference between an object's blue (B) and visual (V) magnitudes, representing its color and thus its temperature or spectral characteristics.
-
D.
berryColor
Indicates the color attribute associated with a berry.
-
E.
hasBowColor
Indicates that one entity possesses or is associated with a bow whose color is specified by another entity.
- F. None of above. chosen
Provenance (4 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7c18d88190ac17f58111722223 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:31 a.m.