Triple
T25949491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Justice |
E653928
|
entity |
| Predicate | networkCancellationStatus |
P117135
|
FINISHED |
| Object | cancelled |
—
|
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: cancelled | Statement: [Chicago Justice, networkCancellationStatus, cancelled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkCancellationStatus Context triple: [Chicago Justice, networkCancellationStatus, cancelled]
-
A.
networkCancellation
chosen
Indicates that a previously established network connection, session, or operation has been terminated or called off.
-
B.
cancellationNetwork
Indicates a relationship where one entity participates in or is associated with a network or system that coordinates, propagates, or manages cancellations of actions, events, or commitments involving another entity.
-
C.
networkStatus
Indicates the current operational state or connectivity condition of a network or networked system.
-
D.
communicationStatus
Indicates the current state or condition of a communication process or exchange between entities (e.g., pending, active, failed, completed).
-
E.
NLManagerStatus
Indicates the current operational state or condition of a natural language manager within a system.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 8:43 a.m.