Triple
T8413296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ristar |
E198672
|
entity |
| Predicate | levelStructure |
P81860
|
FINISHED |
| Object | multiple stages across different planets |
—
|
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: multiple stages across different planets | Statement: [Ristar, levelStructure, multiple stages across different planets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelStructure Context triple: [Ristar, levelStructure, multiple stages across different planets]
-
A.
layerStructure
Indicates a relationship where one entity is organized in or assigned to a specific layer or hierarchical level within a structured system.
-
B.
verticalStructure
Indicates a relationship where one entity is a structure that extends predominantly in the vertical direction relative to another reference or context.
-
C.
lapStructure
Indicates that one entity forms a lap-like structural surface or support upon which another entity can rest or be positioned.
-
D.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of another entity.
-
E.
structureHeight
Indicates that a structure has a specific vertical measurement or height.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:06 p.m.