Triple
T35602942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maintenance Domain |
E1028803
|
entity |
| Predicate | hasLowerLevelThan |
P32836
|
FINISHED |
| Object | operator Maintenance Domain |
—
|
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: operator Maintenance Domain | Statement: [Maintenance Domain, hasLowerLevelThan, operator Maintenance Domain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerLevelThan Context triple: [Maintenance Domain, hasLowerLevelThan, operator Maintenance Domain]
-
A.
hasLowerTier
chosen
Indicates that one entity is ranked, valued, or classified at a lower level or tier relative to another entity.
-
B.
hasLowerLevelUse
Indicates that one entity is used or applied at a more detailed, specific, or subordinate level within the context of another entity’s use.
-
C.
hasLowerLevelLine
Indicates that one line is positioned or ranked below another line within a hierarchical or layered structure.
-
D.
lowerLevelContains
Indicates that one entity includes or encompasses another entity that exists at a lower or more detailed hierarchical level.
-
E.
hasTransitionLowerLevel
Indicates that one state, layer, or condition changes into another that is positioned at a lower level in a hierarchy or scale.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:05 p.m.