Triple
T5363419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunki |
E103073
|
entity |
| Predicate | metallicity_FeH |
P7287
|
FINISHED |
| Object | nearSolar |
—
|
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: nearSolar | Statement: [Nunki, metallicity_FeH, nearSolar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metallicity_FeH Context triple: [Nunki, metallicity_FeH, nearSolar]
-
A.
metallicity
chosen
Indicates the proportion of an object's mass that is made up of elements heavier than hydrogen and helium, typically used to describe the chemical richness of stars or galaxies.
-
B.
hostStarMetallicityEffect
Indicates how the metallicity (elemental composition) of a host star influences the properties, formation, or occurrence of its orbiting planets.
-
C.
hasChemicalAbundances
Indicates that an entity possesses specific quantities or relative proportions of one or more chemical substances.
-
D.
chemicalAbundances
Indicates the relative quantities or concentrations of different chemical species present in a given system or environment.
-
E.
fractionHydrogenByMass
Indicates the proportion of an entity’s total mass that is contributed by hydrogen.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865b9b808190a1e8c283ba28d645 |
completed | March 20, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:02 p.m.