Triple
T33074811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opéra (Paris Métro) |
E846329
|
entity |
| Predicate | line7PlatformsType |
P175775
|
FINISHED |
| Object | island platform |
—
|
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: island platform | Statement: [Opéra (Paris Métro), line7PlatformsType, island platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: line7PlatformsType Context triple: [Opéra (Paris Métro), line7PlatformsType, island platform]
-
A.
line7PlatformsOpened
Indicates that the platforms associated with line 7 have been opened for use or made operational.
-
B.
platforms
Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
-
C.
типПлатформы
Indicates the specific type or category of platform associated with an entity.
-
D.
tramPlatforms
Indicates that one entity provides or is associated with tram platforms available at another entity (such as a station or stop).
-
E.
platformLine
Indicates that a platform is associated with, serves, or is aligned along a particular line (such as a transit, rail, or service line).
- F. None of above. chosen
Provenance (4 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:25 a.m.