Triple
T27257052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heartland Flyer |
E687650
|
entity |
| Predicate | directionalTripsPerDay |
P178773
|
FINISHED |
| Object | 1 northbound |
—
|
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: 1 northbound | Statement: [Heartland Flyer, directionalTripsPerDay, 1 northbound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionalTripsPerDay Context triple: [Heartland Flyer, directionalTripsPerDay, 1 northbound]
-
A.
weekdayPeakDirectionService
Indicates that the service operates primarily during weekday peak travel periods in a specific direction.
-
B.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
C.
numberOfDailyRoundTrips
Indicates the total count of round-trip journeys performed per day in the described context.
-
D.
travelsDirection
Indicates that an entity moves or is transported in a specified directional heading or orientation.
-
E.
dailyRidershipCategory
Indicates the classification of an entity based on the typical number of riders it serves per day.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 27, 2026, 10:50 a.m.