Triple
T5410602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma Cluster |
E121002
|
entity |
| Predicate | dominantMatterComponent |
P59278
|
FINISHED |
| Object | dark matter |
—
|
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: dark matter | Statement: [Norma Cluster, dominantMatterComponent, dark matter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantMatterComponent Context triple: [Norma Cluster, dominantMatterComponent, dark matter]
-
A.
dominantComposition
chosen
Indicates that one entity is the primary or prevailing component, material, or element that makes up or characterizes another entity.
-
B.
primaryChemicalComponent
Indicates that one entity is the main or predominant chemical substance composing another entity.
-
C.
primaryComponent
Indicates that one entity serves as the main or most important component within another entity or system.
-
D.
dominantConstituentState
Indicates that one constituent state holds a primary or controlling position relative to other constituent states within a larger political or organizational structure.
-
E.
dominantStructure
Indicates that one structure exerts primary control, influence, or prominence over other related structures within a given context.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87985ee0819092a9a5cd6a948138 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.