Triple
T30681066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suspended by TCOLE |
E781052
|
entity |
| Predicate | possibleReason |
P24494
|
FINISHED |
| Object | criminal charges against the officer |
—
|
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: criminal charges against the officer | Statement: [Suspended by TCOLE, possibleReason, criminal charges against the officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleReason Context triple: [Suspended by TCOLE, possibleReason, criminal charges against the officer]
-
A.
possibleCauseOf
Indicates that one entity is a potential, but not certain, cause or contributing factor to another entity or outcome.
-
B.
possiblyBy
Indicates that an action, creation, or effect may have been caused or produced by a particular entity, but this attribution is uncertain or not definitively established.
-
C.
statedReason
chosen
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
D.
possibleRelative
Indicates a relationship where one entity may be related to another by family or kinship, but the exact nature of the relationship is uncertain or not fully established.
-
E.
possibleIssue
Indicates that there is a potential or suspected problem, defect, or undesired condition associated with the referenced entity or situation, though it is not yet confirmed.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 29, 2026, 8:32 p.m.