Triple
T18772173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 26499 |
E459040
|
entity |
| Predicate | hasStellarPopulationType |
P61260
|
FINISHED |
| Object | Population I |
—
|
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: Population I | Statement: [HD 26499, hasStellarPopulationType, Population I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStellarPopulationType Context triple: [HD 26499, hasStellarPopulationType, Population I]
-
A.
containsStellarPopulation
chosen
Indicates that one astronomical object includes or encompasses a group of stars as part of its stellar content.
-
B.
hasStellarMassClass
Indicates the classification relationship that assigns an object to a specific category based on its stellar mass.
-
C.
hasStellarSpectrum
Indicates that an astronomical object exhibits a particular stellar spectrum characterizing its emitted light across wavelengths.
-
D.
hasGalaxyType
Indicates that a galaxy is classified as belonging to a specific morphological or structural type.
-
E.
hasDominantOldStellarPopulation
Indicates that an astronomical object’s stellar content is primarily composed of older stars, which dominate its overall stellar population.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59336a6b08190819595a55177264e |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.