Triple
T18772859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Population I |
E459057
|
entity |
| Predicate | typicalMetallicityRange |
P132922
|
FINISHED |
| Object | about Z ≈ 0.01–0.03 |
—
|
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: about Z ≈ 0.01–0.03 | Statement: [Population I, typicalMetallicityRange, about Z ≈ 0.01–0.03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMetallicityRange Context triple: [Population I, typicalMetallicityRange, about Z ≈ 0.01–0.03]
-
A.
hasSimilarMetallicityTo
Indicates that two entities share a comparable or closely matching metallicity (i.e., abundance of elements heavier than helium).
-
B.
hostStarMetallicity
Indicates the metal content of a star that hosts an orbiting object, typically a planet, relative to a reference (often the Sun).
-
C.
typicalMassRange
Indicates the usual or expected range of mass values associated with an entity.
-
D.
hostStarMetallicityEffect
Indicates how the metallicity (elemental composition) of a host star influences the properties, formation, or occurrence of its orbiting planets.
-
E.
hasVerticalMetallicityGradient
Indicates that the metallicity of a system changes systematically as a function of vertical position or height.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e593378a4081909cc1b0856fce7d7d |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:52 a.m.