Triple
T4032683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XFL |
E83751
|
entity |
| Predicate | reasonForOriginalClosure |
P8451
|
FINISHED |
| Object | low television ratings |
—
|
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: low television ratings | Statement: [XFL, reasonForOriginalClosure, low television ratings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForOriginalClosure Context triple: [XFL, reasonForOriginalClosure, low television ratings]
-
A.
closureReason
chosen
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
-
B.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
-
C.
reasonForAnnulment
Indicates the specific cause or grounds on which a prior decision, agreement, or status is formally annulled or declared invalid.
-
D.
reasonForDismissal
Indicates the cause or justification for which an entity (such as a person, case, or item) was dismissed, terminated, or removed.
-
E.
subjectToClosure
Indicates that an entity is liable or scheduled to be closed, discontinued, or shut down under certain conditions or plans.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0f776881909db6b7df1db7664c |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.