Triple
T1563778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alitalia |
E33385
|
entity |
| Predicate | ceasedOperationsReason |
P11350
|
FINISHED |
| Object | financial difficulties |
—
|
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: financial difficulties | Statement: [Alitalia, ceasedOperationsReason, financial difficulties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceasedOperationsReason Context triple: [Alitalia, ceasedOperationsReason, financial difficulties]
-
A.
ceasedOperation
Indicates that an entity has stopped functioning, operating, or carrying out its activities, typically in a permanent or indefinite manner.
-
B.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
C.
reasonForDiscontinuation
chosen
Indicates that one entity specifies the cause or justification for stopping, ending, or withdrawing another entity, process, or activity.
-
D.
abandonedReason
Indicates the reason or cause for which something was abandoned, discontinued, or given up.
-
E.
reasonForElimination
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.