Triple
T33879656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Area Control Center |
E868448
|
entity |
| Predicate | operatesContinuously |
P180364
|
FINISHED |
| Object | 24 hours in many regions |
—
|
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: 24 hours in many regions | Statement: [Area Control Center, operatesContinuously, 24 hours in many regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesContinuously Context triple: [Area Control Center, operatesContinuously, 24 hours in many regions]
-
A.
isContinuously
Indicates that an action, state, or relationship persists without interruption over a period of time.
-
B.
isContinuouslyAvailable
chosen
Indicates that the subject remains accessible or in operation without interruption over a period of time.
-
C.
isContinuous
Indicates that a function, process, or relationship changes smoothly without abrupt jumps or breaks over its domain.
-
D.
operateIn
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
-
E.
operatesOver
Indicates that one entity performs actions or exerts functional control across, upon, or throughout another entity or domain.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0091ad8b8c8190b0f00a3358e59bc1 |
completed | May 10, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_6a008f2813ec81909a54c2dfa5c75dc7 |
completed | May 10, 2026, 1:59 p.m. |
Created at: May 1, 2026, 1:48 a.m.