Triple
T24503995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monroe Power Plant |
E618014
|
entity |
| Predicate | hasStack |
P95081
|
FINISHED |
| Object | chimney |
—
|
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: chimney | Statement: [Monroe Power Plant, hasStack, chimney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStack Context triple: [Monroe Power Plant, hasStack, chimney]
-
A.
hasStacks
chosen
Indicates that one entity possesses or contains multiple layered or piled units of another entity.
-
B.
hasAlternativeStack
Indicates that an entity is associated with a different or substitute stack configuration or implementation that can be used in place of the primary one.
-
C.
hasStackPointer
Indicates that an entity maintains or uses a specific stack pointer reference within a stack-based memory or execution context.
-
D.
isStackedWith
Indicates that one object is positioned directly on top of or beneath another object so that they form a vertical stack together.
-
E.
usesStackPage
Indicates that one entity relies on or operates through a stack-based page mechanism provided by another entity.
- 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_69e2d7f682108190a1a7ca5fd485ee8a |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:23 a.m.