Triple
T8684955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universe |
E206133
|
entity |
| Predicate | hasLargeScaleStructure |
P84178
|
FINISHED |
| Object | cosmic web |
—
|
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: cosmic web | Statement: [Universe, hasLargeScaleStructure, cosmic web]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargeScaleStructure Context triple: [Universe, hasLargeScaleStructure, cosmic web]
-
A.
isPartOfLargeScaleStructure
Indicates that an entity is a component or constituent of a larger, overarching structure or system.
-
B.
hasLargeScale
Indicates that an entity operates, exists, or is implemented at a large or extensive scale relative to typical or baseline cases.
-
C.
cosmologicalScale
Indicates that the relationship or phenomenon is occurring, measured, or considered at the scale of the entire universe or its large-scale structure.
-
D.
massiveStructure
Indicates that an entity is a very large or imposing physical structure in terms of size, scale, or mass.
-
E.
hasHighGalaxyDensity
Indicates that a region of space contains an unusually large number of galaxies per unit volume compared to typical cosmic environments.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4aeae740819099093906ccc5f640 |
completed | March 31, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc483f06f48190879f4702c8b4ed00 |
completed | March 31, 2026, 10:18 p.m. |
Created at: March 30, 2026, 6:32 p.m.