Triple
T38312037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Metro Rail D Line stations |
E1033713
|
entity |
| Predicate | offPeakServiceHeadway |
P114667
|
FINISHED |
| Object | approximately 12–20 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 12–20 minutes (typical planning value) | Statement: [Los Angeles Metro Rail D Line stations, offPeakServiceHeadway, approximately 12–20 minutes (typical planning value)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offPeakServiceHeadway Context triple: [Los Angeles Metro Rail D Line stations, offPeakServiceHeadway, approximately 12–20 minutes (typical planning value)]
-
A.
offPeakServiceFrequency_minutes
chosen
Indicates the number of minutes between successive services during off-peak periods.
-
B.
offPeakServicePattern
Indicates the service pattern or schedule that applies during off-peak (non-rush-hour) times.
-
C.
typicalOffPeakServiceTo
Indicates the usual or standard off-peak (non-peak time) service pattern that operates to a given destination.
-
D.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
E.
transitFrequencyApprox
Indicates an approximate rate or regularity with which a transit event or service occurs between entities.
- 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_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. |
Created at: May 3, 2026, 4:30 p.m.