Triple
T32141496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navarro–Frenk–White profile |
E820913
|
entity |
| Predicate | isStandardModelFor |
P120632
|
FINISHED |
| Object | universal dark matter halo density profile |
—
|
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: universal dark matter halo density profile | Statement: [Navarro–Frenk–White profile, isStandardModelFor, universal dark matter halo density profile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStandardModelFor Context triple: [Navarro–Frenk–White profile, isStandardModelFor, universal dark matter halo density profile]
-
A.
isModelOf
Indicates that one entity serves as a representation or abstraction that captures the structure or behavior of another entity.
-
B.
isStandardModelParticle
Indicates that the entity is one of the fundamental particles included in the Standard Model of particle physics.
-
C.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
-
D.
isPopularStandardFor
chosen
Indicates that something is widely accepted and commonly used as the standard choice for a particular purpose or context.
-
E.
isStandardOf
Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 12:30 a.m.