Triple
T35588003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North–South connection |
E1028411
|
entity |
| Predicate | hasMaximumTrainFrequency |
P115690
|
FINISHED |
| Object | one train every few minutes per track during peak 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: one train every few minutes per track during peak hours | Statement: [North–South connection, hasMaximumTrainFrequency, one train every few minutes per track during peak hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumTrainFrequency Context triple: [North–South connection, hasMaximumTrainFrequency, one train every few minutes per track during peak hours]
-
A.
transitFrequencyApprox
Indicates an approximate rate or regularity with which a transit event or service occurs between entities.
-
B.
hasPeakHourFrequency
chosen
Indicates how often a service or event occurs during designated peak hours.
-
C.
hasNumberOfSeatsAtPeak
Indicates the maximum number of seats available or occupied at the peak usage or capacity of something.
-
D.
isTerminalForSomeTrains
Indicates that a station or stop serves as the final destination (terminus) for at least one train route.
-
E.
maximumBusSpeed
Indicates the highest speed that a bus is allowed or able to travel under specified conditions.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a023f290e3081909a465d6cfb79518a |
completed | May 11, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_6a0238d1436c8190ab0251030b01902e |
completed | May 11, 2026, 8:15 p.m. |
Created at: May 3, 2026, 4:05 p.m.