Triple
T12839622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Gare de Lyon |
E307013
|
entity |
| Predicate | RERPlatformsOpened |
P57520
|
FINISHED |
| Object | 1977-12-09 |
—
|
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: 1977-12-09 | Statement: [Paris Métro Gare de Lyon, RERPlatformsOpened, 1977-12-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RERPlatformsOpened Context triple: [Paris Métro Gare de Lyon, RERPlatformsOpened, 1977-12-09]
-
A.
travelTimeToParisByRER
Indicates the duration required to travel to Paris using the RER train network.
-
B.
openedAsRERStation
chosen
Indicates that a station began operation specifically as part of the RER (Réseau Express Régional) network from its opening date.
-
C.
followingStationOnOrangeLine
Indicates that one station is the next station in sequence after another station on the Orange Line.
-
D.
railwayStationOnLine
Indicates that a particular railway station is located on and served by a specified railway line.
-
E.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:35 p.m.