Triple
T11067497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bercy (Paris Métro) |
E261662
|
entity |
| Predicate | hasAutomaticPlatformScreenDoors |
P22114
|
FINISHED |
| Object | on Line 14 platforms |
—
|
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: on Line 14 platforms | Statement: [Bercy (Paris Métro), hasAutomaticPlatformScreenDoors, on Line 14 platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAutomaticPlatformScreenDoors Context triple: [Bercy (Paris Métro), hasAutomaticPlatformScreenDoors, on Line 14 platforms]
-
A.
hasPlatformScreenDoors
chosen
Indicates that a transit station or platform is equipped with platform screen doors separating passengers from the tracks.
-
B.
hasAutomaticTrainControlCompatibility
Indicates that an entity is compatible with, or supports integration with, an automatic train control (ATC) system.
-
C.
hasRailPlatforms
Indicates that an entity is equipped with one or more rail platforms used for boarding or alighting from trains.
-
D.
hasAutomaticFareCollection
Indicates that an entity is equipped with a system that automatically collects fares or payments from users without manual processing.
-
E.
hasPassengerShelterOnEachPlatform
Indicates that every platform at a given location is equipped with a passenger shelter.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79920428c81908db824ab54e08e8d |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.