Triple
T2752886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hertzsprung–Russell diagram |
E61028
|
entity |
| Predicate | xAxisRepresents |
P39553
|
FINISHED |
| Object | stellar effective temperature |
—
|
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: stellar effective temperature | Statement: [Hertzsprung–Russell diagram, xAxisRepresents, stellar effective temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: xAxisRepresents Context triple: [Hertzsprung–Russell diagram, xAxisRepresents, stellar effective temperature]
-
A.
horizontalAxis
chosen
Indicates that one entity serves as the horizontal reference line or direction along which another entity is oriented, measured, or arranged.
-
B.
usesAxis
Indicates that one entity employs or relies on another entity as a reference axis or basis for orientation, measurement, or organization.
-
C.
ridgeAxis
Indicates the central line or crest along the top of a ridge that defines its main axis or direction.
-
D.
isMajorAxisFor
Indicates that something serves as the primary or longest axis that defines the main directional or structural orientation of another object or system.
-
E.
countryOnAxisSide
Indicates that a country was aligned with or belonged to the Axis side in a particular conflict or war.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb6ed9c08190824d1866e198ef80 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.