Triple
T38312036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Metro Rail D Line stations |
E1033713
|
entity |
| Predicate | peakServiceHeadway |
P190632
|
FINISHED |
| Object | approximately 10 minutes (typical planning value) |
—
|
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: approximately 10 minutes (typical planning value) | Statement: [Los Angeles Metro Rail D Line stations, peakServiceHeadway, approximately 10 minutes (typical planning value)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakServiceHeadway Context triple: [Los Angeles Metro Rail D Line stations, peakServiceHeadway, approximately 10 minutes (typical planning value)]
-
A.
peakServicePeriod
Indicates the time interval during which a service experiences its highest or most intensive level of use or operation.
-
B.
peakService
Indicates that the service is operating during its highest-demand or peak usage period.
-
C.
peakServiceOnly
Indicates that the service operates only during peak periods and is not available at off-peak times.
-
D.
peakServiceRole
Indicates a role that an entity assumes specifically during peak or high-demand service periods.
-
E.
offPeakServiceFrequency_minutes
Indicates the number of minutes between successive services during off-peak periods.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.