Triple
T33922042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reunification Express line |
E869639
|
entity |
| Predicate | numberOfDailyTrainsEachDirectionApprox |
P128221
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Reunification Express line, numberOfDailyTrainsEachDirectionApprox, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDailyTrainsEachDirectionApprox Context triple: [Reunification Express line, numberOfDailyTrainsEachDirectionApprox, multiple]
-
A.
peakDailyTrains
Indicates the maximum number of trains operating per day on a given route, line, or segment during its busiest period.
-
B.
railwayTrafficDirection
Indicates the customary side of the track on which trains are operated or expected to run within a given railway system or segment.
-
C.
trainsPerSide
chosen
Indicates the number of trains allocated or operating on each side (e.g., direction, platform, or segment) within a system or configuration.
-
D.
railwayTraffic
Indicates the presence, flow, or management of train movements along railway lines between locations.
-
E.
trainNumberDirection
Indicates the specific direction in which a train, identified by its train number, is traveling or scheduled to travel.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a036b0755888190a68a673664f0ea46 |
completed | May 12, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_6a036228676c8190aac9c90f7d8cedf7 |
completed | May 12, 2026, 5:23 p.m. |
Created at: May 1, 2026, 1:49 a.m.