Triple
T34456797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chabrier initial mass function |
E884523
|
entity |
| Predicate | betterRepresents |
P178961
|
FINISHED |
| Object | low-mass star counts in the Galactic disk |
—
|
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: low-mass star counts in the Galactic disk | Statement: [Chabrier initial mass function, betterRepresents, low-mass star counts in the Galactic disk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: betterRepresents Context triple: [Chabrier initial mass function, betterRepresents, low-mass star counts in the Galactic disk]
-
A.
representsAs
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
B.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
-
C.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
D.
representedTo
Indicates that one entity formally acted on behalf of or served as the representative of another entity in a given context or interaction.
-
E.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
- 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 2 a.m.