Triple
T33811939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Bourget, Seine-Saint-Denis |
E866558
|
entity |
| Predicate | suburbanRail |
P159750
|
FINISHED |
| Object | RER B |
—
|
NE NERFINISHED |
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: RER B | Statement: [Le Bourget, Seine-Saint-Denis, suburbanRail, RER B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbanRail Context triple: [Le Bourget, Seine-Saint-Denis, suburbanRail, RER B]
-
A.
isSuburbanRailway
chosen
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
-
B.
urbanRailway
Indicates a relationship where a railway system operates within or primarily serves an urban or metropolitan area.
-
C.
isSuburbanRailIn
Indicates that a suburban rail service or line operates within or belongs to a specified geographic area or region.
-
D.
urbanRailHubFor
Indicates that a location functions as a central node or interchange point within an urban rail network for a given area or set of lines.
-
E.
rapidTransitSystem
Indicates a transportation relationship where people or goods are moved via a high-capacity, high-frequency public transit system designed for rapid travel over urban or regional routes.
- 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffcddfc08190bb83e4f2de5bee7b |
completed | May 3, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.