Triple
T19676308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Ville (Paris Métro) |
E472460
|
entity |
| Predicate | line11PlatformsOpened |
P74874
|
FINISHED |
| Object | 1935-04-28 |
—
|
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: 1935-04-28 | Statement: [Hôtel de Ville (Paris Métro), line11PlatformsOpened, 1935-04-28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: line11PlatformsOpened Context triple: [Hôtel de Ville (Paris Métro), line11PlatformsOpened, 1935-04-28]
-
A.
line11PlatformsOpeningDate
chosen
Indicates the date on which the platforms for line 11 were opened for use.
-
B.
line1PlatformsOpened
Indicates that the platforms serving line 1 have been opened and are available for use.
-
C.
line9PlatformsOpeningDate
Indicates the date on which the platforms for line 9 were first opened for use.
-
D.
lineAPlatformOpened
Indicates that the platform associated with line A has been opened and is now available for use.
-
E.
ElizabethLinePlatformsOpened
Indicates that the platforms associated with the Elizabeth Line have been officially opened for public use.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bbea8c8190b0ad841d95068e0e |
completed | April 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69e514eb37b8819091502cc954f70eba |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.