Triple
T21697846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z train serves during rush hours in peak direction |
E535571
|
entity |
| Predicate | nonOperationPeriod |
P2509
|
FINISHED |
| Object | does not operate during middays |
—
|
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: does not operate during middays | Statement: [Z train serves during rush hours in peak direction, nonOperationPeriod, does not operate during middays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonOperationPeriod Context triple: [Z train serves during rush hours in peak direction, nonOperationPeriod, does not operate during middays]
-
A.
notFromPeriod
Indicates that an entity does not originate from, belong to, or occur within a specified time period.
-
B.
nonRecognitionPeriodStart
Indicates the point in time when a specified non-recognition period for an entity or relationship begins.
-
C.
nonRecognitionPeriodEnd
Indicates the point in time when a previously established period of non-recognition (e.g., of status, rights, or validity) comes to an end.
-
D.
doesNotOperate
chosen
Indicates that an entity is not functioning, active, or performing its intended operation in relation to another entity or context.
-
E.
reasonForNonOperation
Indicates the specific cause or explanation for why an entity, system, or process is not currently operating or functioning.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7caca0819083d839b276ae015b |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.