Triple
T32018702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaville-Rive-Droite station |
E817617
|
entity |
| Predicate | servesCommuterTrainsOn |
P95592
|
FINISHED |
| Object | western approaches to Paris |
—
|
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: western approaches to Paris | Statement: [Chaville-Rive-Droite station, servesCommuterTrainsOn, western approaches to Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCommuterTrainsOn Context triple: [Chaville-Rive-Droite station, servesCommuterTrainsOn, western approaches to Paris]
-
A.
servesCommuterRailLine
chosen
Indicates that a location or facility provides access to and is a stop or station for a commuter rail line.
-
B.
operatesCommuterServiceBetween
Indicates that an entity runs a commuter transportation service connecting two specified locations.
-
C.
railroadLineServed
Indicates that a particular railroad line provides service to, or operates through, a given location or facility.
-
D.
operatesCommuterRailServices
Indicates that an entity runs and manages commuter rail transportation services for passengers.
-
E.
railwayTypeServed
Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
Created at: May 1, 2026, 12:16 a.m.