Triple
T28470864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-1 |
E720431
|
entity |
| Predicate | baseLevelFor |
P164751
|
FINISHED |
| Object | STS-n |
—
|
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: STS-n | Statement: [STS-1, baseLevelFor, STS-n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseLevelFor Context triple: [STS-1, baseLevelFor, STS-n]
-
A.
lowerLevelUsedFor
Indicates that a lower-level component, resource, or abstraction is utilized to implement, support, or realize the functionality of a higher-level one.
-
B.
meetsAtLevel
Indicates that two or more entities encounter or interact with each other at a specific hierarchical, structural, or progression level.
-
C.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
D.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
-
E.
definesLevel
Indicates that one entity specifies or establishes the degree, stage, or intensity at which another entity is set or operates.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ee1c4d08190ba95b02f3aa0ca67 |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 2:48 a.m.