Triple
T3143098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heart of Wales Line |
E65697
|
entity |
| Predicate | timetableCharacteristic |
P42651
|
FINISHED |
| Object | infrequent services |
—
|
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: infrequent services | Statement: [Heart of Wales Line, timetableCharacteristic, infrequent services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timetableCharacteristic Context triple: [Heart of Wales Line, timetableCharacteristic, infrequent services]
-
A.
timeCharacteristic
chosen
Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
-
B.
transportCharacteristic
Indicates a relationship where a specific characteristic, property, or feature is attributed to a mode or instance of transport.
-
C.
trainingCharacteristic
Indicates that an entity has a specific property, feature, or quality related to training (such as method, intensity, or style).
-
D.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
E.
hasPlanningCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59489a88190b0962cef091f4ddb |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.