Triple
T10171469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mâcon-Ville railway station |
E235339
|
entity |
| Predicate | onRailwayCorridor |
P57554
|
FINISHED |
| Object | main line between Paris and Lyon |
—
|
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: main line between Paris and Lyon | Statement: [Mâcon-Ville railway station, onRailwayCorridor, main line between Paris and Lyon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onRailwayCorridor Context triple: [Mâcon-Ville railway station, onRailwayCorridor, main line between Paris and Lyon]
-
A.
partOfRailwayCorridor
chosen
Indicates that one entity is a segment, component, or area belonging to or contained within a specific railway corridor.
-
B.
railCorridorType
Indicates the specific classification or type of a rail corridor associated with the subject (e.g., mainline, branch line, high-speed, freight, etc.).
-
C.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
D.
coordinatesRailTrafficWith
Indicates that one entity organizes and synchronizes rail operations or movements with another entity to ensure coordinated train traffic.
-
E.
usesRailInfrastructureOf
Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9e4e0c819097dceb7bf7757948 |
completed | April 2, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:10 p.m.