Triple
T1311320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra Union Pacific West Line |
E27995
|
entity |
| Predicate | peakService |
P27840
|
FINISHED |
| Object | higher frequency during weekday rush hours |
—
|
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: higher frequency during weekday rush hours | Statement: [Metra Union Pacific West Line, peakService, higher frequency during weekday rush hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakService Context triple: [Metra Union Pacific West Line, peakService, higher frequency during weekday rush hours]
-
A.
peakServiceOnly
Indicates that the service operates only during peak periods and is not available at off-peak times.
-
B.
peakStatus
Indicates the condition or phase of something at its highest or most intense point in its progression or lifecycle.
-
C.
peakPersonnel
Indicates the maximum number of personnel involved or present at any point during a specified period or activity.
-
D.
peakReign
Indicates the period or point in time when an entity’s power, influence, or dominance was at its highest.
-
E.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
- F. None of above. chosen
Provenance (4 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c1560f888190bdd9107b08395e0b |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c15361c8819094b8171e780b5560 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:51 p.m.