Triple
T5259882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMa Dwarf |
E118796
|
entity |
| Predicate | stellarContent |
P62577
|
FINISHED |
| Object | dominantly old and intermediate-age populations |
—
|
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: dominantly old and intermediate-age populations | Statement: [CMa Dwarf, stellarContent, dominantly old and intermediate-age populations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stellarContent Context triple: [CMa Dwarf, stellarContent, dominantly old and intermediate-age populations]
-
A.
stars
Indicates that one entity marks, highlights, or designates another as special, important, or featured (often by assigning a star or similar marker).
-
B.
star
Indicates that an entity has been given a special or highlighted status, often marking it as important, featured, or favorited in relation to others.
-
C.
starImage
Indicates that one entity is an image or visual representation of a star or stellar object.
-
D.
starSystem
Indicates a relationship where an astronomical object or location belongs to, is part of, or is located within a particular star system.
-
E.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7bcabe58819096255672664513b1 |
completed | March 20, 2026, 4:54 p.m. |
Created at: March 20, 2026, 1:50 p.m.