Triple
T9302016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | easyStorage |
E223786
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | easyHotel |
E223779
|
NE 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: easyHotel | Statement: [easyStorage, associatedWith, easyHotel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: easyHotel Context triple: [easyStorage, associatedWith, easyHotel]
-
A.
easyHotel
chosen
easyHotel is a UK-based budget hotel chain offering no-frills, low-cost accommodation, primarily in city-center locations across Europe and beyond.
-
B.
Express Hotel
Express Hotel is a lodging property associated with the Cedar Point amusement park resort, providing convenient accommodations for park visitors.
-
C.
Booking.com
Booking.com is a major global online travel agency that allows users to search for and book accommodations such as hotels, apartments, and vacation rentals.
-
D.
EVEN Hotels
EVEN Hotels is a wellness-focused hotel brand offering health-conscious amenities and environments for travelers seeking to maintain balanced lifestyles on the road.
-
E.
Select Hotel
"Select Hotel" is a French film featuring actress Julie Gayet in a significant role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d34c4c819095a213360747c3a6 |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d100c0af508190bc2a7eaec78cef95 |
completed | April 4, 2026, 12:14 p.m. |
Created at: March 30, 2026, 7:36 p.m.