Triple
T37928580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lockout |
E946154
|
entity |
| Predicate | hasVerticalityBetween |
P57457
|
FINISHED |
| Object | bottom level and top level platforms |
—
|
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: bottom level and top level platforms | Statement: [Lockout, hasVerticalityBetween, bottom level and top level platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerticalityBetween Context triple: [Lockout, hasVerticalityBetween, bottom level and top level platforms]
-
A.
isAxisBetween
chosen
Indicates that one entity serves as a central or reference axis positioned between two other entities in a spatial or structural arrangement.
-
B.
hasVerticalSection
Indicates that one entity possesses or includes a distinct vertical section or segment as part of its structure or representation.
-
C.
hasVerticalComplexity
Indicates that one entity exhibits a structured or layered arrangement along the vertical dimension relative to a reference or context.
-
D.
hasBottomness
Indicates that one entity occupies or represents the lower or bottom position relative to another entity.
-
E.
hasVerticalMotion
Indicates that an entity is undergoing or exhibiting motion in the vertical direction (upward or downward).
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.