Triple
T5897019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nun |
E131123
|
entity |
| Predicate | relationToWorld |
P11529
|
FINISHED |
| Object | surrounds the ordered cosmos |
—
|
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: surrounds the ordered cosmos | Statement: [Nun, relationToWorld, surrounds the ordered cosmos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToWorld Context triple: [Nun, relationToWorld, surrounds the ordered cosmos]
-
A.
relationshipToWorld
chosen
Indicates how an entity is connected or related to the broader world or external environment.
-
B.
positionInWorlds
Indicates that an entity occupies specific spatial coordinates or locations within one or more distinct worlds or environments.
-
C.
coordinateTransformation
Indicates a relationship where one coordinate system is mathematically converted or mapped into another, preserving the correspondence of points between them.
-
D.
coordinateSystem
Indicates that one entity defines or uses a particular spatial or reference coordinate system in relation to another entity.
-
E.
formsCoordinateCollegeSystemWith
Indicates that two educational institutions jointly participate in and operate as parts of a shared, coordinated college system.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.