Triple
T8304407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place Franz Liszt |
E194425
|
entity |
| Predicate | outdoorSmokingPolicy |
P82632
|
FINISHED |
| Object | subject to French public space regulations |
—
|
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: subject to French public space regulations | Statement: [Place Franz Liszt, outdoorSmokingPolicy, subject to French public space regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outdoorSmokingPolicy Context triple: [Place Franz Liszt, outdoorSmokingPolicy, subject to French public space regulations]
-
A.
isNonSmoking
Indicates that the subject is designated or required to be free from smoking or tobacco use.
-
B.
canBeSmoked
Indicates that something is suitable or able to be consumed by smoking.
-
C.
outdoorVenue
Indicates that an event, activity, or gathering takes place at a location situated outdoors rather than inside a building or enclosed structure.
-
D.
outdoorSeating
Indicates that an establishment provides seating arrangements located outside the main indoor area.
-
E.
hasCampingPolicy
Indicates that an entity specifies rules, restrictions, or guidelines regarding camping activities on its premises or within its jurisdiction.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e8b9f6081909100d1da8a078616 |
completed | March 31, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:53 p.m.