Triple
T7262685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île Sainte-Marguerite |
E159692
|
entity |
| Predicate | hasAccommodationRestriction |
P53204
|
FINISHED |
| Object | limited overnight stays |
—
|
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: limited overnight stays | Statement: [Île Sainte-Marguerite, hasAccommodationRestriction, limited overnight stays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccommodationRestriction Context triple: [Île Sainte-Marguerite, hasAccommodationRestriction, limited overnight stays]
-
A.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
B.
hasTourismRestriction
chosen
Indicates that there is a limitation, prohibition, or special condition affecting tourism-related activities or access in relation to the referenced entity.
-
C.
allowsReservation
Indicates that one entity permits another entity to make or hold a reservation for its use or access.
-
D.
hasReservationPolicy
Indicates that an entity specifies or is governed by a particular policy regarding how reservations are made, managed, or honored.
-
E.
containsReservation
Indicates that one entity includes or holds a reservation associated with another 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:57 p.m.