Triple
T12857231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Migros |
E307487
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Hotelplan
Hotelplan is a Swiss travel company known for offering package holidays, flights, and other tourism services, and operates as part of the Migros Group.
|
E1006144
|
NE FINISHED |
How this triple was built (4 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: Hotelplan | Statement: [Migros, hasSubsidiary, Hotelplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hotelplan Context triple: [Migros, hasSubsidiary, Hotelplan]
-
A.
Hotel
"Hotel" is an American television drama series from the 1980s, based on an Arthur Hailey novel, that follows the staff and guests of a luxurious San Francisco hotel.
-
B.
easyHotel
easyHotel is a UK-based budget hotel chain offering no-frills, low-cost accommodation, primarily in city-center locations across Europe and beyond.
-
C.
Select Hotel
"Select Hotel" is a French film featuring actress Julie Gayet in a significant role.
-
D.
Hotel front
"Hotel front" is an alternative name for the Battle of the Hotels, a World War I engagement in which opposing forces fought for control of prominent hotel buildings in Beirut.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hotelplan Triple: [Migros, hasSubsidiary, Hotelplan]
Generated description
Hotelplan is a Swiss travel company known for offering package holidays, flights, and other tourism services, and operates as part of the Migros Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hotelplan Target entity description: Hotelplan is a Swiss travel company known for offering package holidays, flights, and other tourism services, and operates as part of the Migros Group.
-
A.
Hotel
"Hotel" is an American television drama series from the 1980s, based on an Arthur Hailey novel, that follows the staff and guests of a luxurious San Francisco hotel.
-
B.
easyHotel
easyHotel is a UK-based budget hotel chain offering no-frills, low-cost accommodation, primarily in city-center locations across Europe and beyond.
-
C.
Select Hotel
"Select Hotel" is a French film featuring actress Julie Gayet in a significant role.
-
D.
Hotel front
"Hotel front" is an alternative name for the Battle of the Hotels, a World War I engagement in which opposing forces fought for control of prominent hotel buildings in Beirut.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970231ce48190a4eabc4b8c24a3ff |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba9a53c81908e9ed120f6cb94af |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d4a2ab481908460797a8ee6bc8d |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dc8b86c81908557fa8538e942de |
completed | May 3, 2026, 12:58 a.m. |
Created at: April 9, 2026, 5:37 p.m.