Triple
T5202243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milky Way stellar halo |
E117419
|
entity |
| Predicate | hasMeanMetallicity |
P7287
|
FINISHED |
| Object | [Fe/H] ≲ −1 |
—
|
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: [Fe/H] ≲ −1 | Statement: [Milky Way stellar halo, hasMeanMetallicity, [Fe/H] ≲ −1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeanMetallicity Context triple: [Milky Way stellar halo, hasMeanMetallicity, [Fe/H] ≲ −1]
-
A.
hostStarMetallicityEffect
Indicates how the metallicity (elemental composition) of a host star influences the properties, formation, or occurrence of its orbiting planets.
-
B.
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.
-
C.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
D.
hasGasToStellarMassRatio
Indicates the proportion between an object's gas mass and its stellar mass.
-
E.
cosmologicalAbundance
Indicates the typical proportion or concentration of a substance or entity in the universe as a whole, according to cosmological measurements or models.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.