Triple
T18156532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Rascasse |
E434645
|
entity |
| Predicate | sectionOfTrack |
P79289
|
FINISHED |
| Object | final sector |
—
|
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: final sector | Statement: [La Rascasse, sectionOfTrack, final sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionOfTrack Context triple: [La Rascasse, sectionOfTrack, final sector]
-
A.
partOfTrack
chosen
Indicates that something is a segment or component belonging to a larger track or route.
-
B.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
C.
railwayLineSection
Indicates a specific segment or portion of a railway line that connects two points along the rail network.
-
D.
tracksSector
Indicates that one entity monitors, follows, or keeps records of the status or performance of a particular sector.
-
E.
transportSegment
Indicates a distinct portion of a larger journey or route during which something or someone is transported from one point to another.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debe27a88190bd76c6f78fcf1bd1 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.