Triple
T5075078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo I Dwarf Galaxy |
E114373
|
entity |
| Predicate | containsStellarPopulation |
P61260
|
FINISHED |
| Object | old stars |
—
|
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: old stars | Statement: [Leo I Dwarf Galaxy, containsStellarPopulation, old stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsStellarPopulation Context triple: [Leo I Dwarf Galaxy, containsStellarPopulation, old stars]
-
A.
stellarPopulation
Indicates a relationship where one entity represents the group or distribution of stars (stellar population) associated with another entity, such as a galaxy or region of space.
-
B.
stellarPopulationAge
Indicates the age of a group of stars that formed together within a stellar system or region.
-
C.
containsAsterism
Indicates that one entity includes or encompasses an asterism (a recognizable pattern or grouping of stars) within its extent or definition.
-
D.
hasStarFormationMode
Indicates the specific manner or process by which star formation occurs in a given astronomical system or region.
-
E.
hasEmbeddedStarCluster
Indicates that one astronomical object contains or includes a star cluster within its structure or boundaries.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d2243481908c1ae62f7123c4e9 |
completed | March 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73d90b608190bd6c2407e84e2b64 |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.