Triple
T6041930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CP |
E134564
|
entity |
| Predicate | operatorCeasedOperations |
P6603
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [CP, operatorCeasedOperations, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorCeasedOperations Context triple: [CP, operatorCeasedOperations, 2001]
-
A.
ceasedOperation
Indicates that an entity has stopped functioning, operating, or carrying out its activities, typically in a permanent or indefinite manner.
-
B.
ceasedOperationsAs
Indicates that an entity stopped functioning or operating in a particular role, capacity, or status.
-
C.
operatorStatus
Indicates the current operational state or condition of an operator (e.g., active, inactive, or in error).
-
D.
operatedUntil
chosen
Indicates that an entity continued to function or be in operation up to a specified end time or date.
-
E.
operatingStatus
Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056d11370819096ac35349bd91f4e |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.