Triple
T12099790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaba |
E288160
|
entity |
| Predicate | hasTechCompanyPresence |
P17483
|
FINISHED |
| Object |
Hotels.ng
Hotels.ng is a Nigerian online hotel booking platform known for helping users find and reserve accommodations across the country.
|
E963381
|
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: Hotels.ng | Statement: [Yaba, hasTechCompanyPresence, Hotels.ng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hotels.ng Context triple: [Yaba, hasTechCompanyPresence, Hotels.ng]
-
A.
Agoda
Agoda is a global online travel agency known for offering hotel and accommodation bookings, flights, and travel services, particularly strong in the Asia-Pacific region.
-
B.
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.
-
C.
easyHotel
easyHotel is a UK-based budget hotel chain offering no-frills, low-cost accommodation, primarily in city-center locations across Europe and beyond.
-
D.
Select Hotel
"Select Hotel" is a French film featuring actress Julie Gayet in a significant role.
-
E.
trivago
trivago is a global hotel and accommodation metasearch platform that compares prices from numerous booking sites to help users find and book lodging deals.
- 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: Hotels.ng Triple: [Yaba, hasTechCompanyPresence, Hotels.ng]
Generated description
Hotels.ng is a Nigerian online hotel booking platform known for helping users find and reserve accommodations across the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hotels.ng Target entity description: Hotels.ng is a Nigerian online hotel booking platform known for helping users find and reserve accommodations across the country.
-
A.
Agoda
Agoda is a global online travel agency known for offering hotel and accommodation bookings, flights, and travel services, particularly strong in the Asia-Pacific region.
-
B.
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.
-
C.
easyHotel
easyHotel is a UK-based budget hotel chain offering no-frills, low-cost accommodation, primarily in city-center locations across Europe and beyond.
-
D.
Select Hotel
"Select Hotel" is a French film featuring actress Julie Gayet in a significant role.
-
E.
trivago
trivago is a global hotel and accommodation metasearch platform that compares prices from numerous booking sites to help users find and book lodging deals.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91c5102848190ad652c3d6445f65a |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6724de481909fe29e3278136ea2 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fe53d47c8190896a9abf8cc4bc31 |
completed | May 2, 2026, 1:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5ffc2cfd08190b87eccd3a73afc77 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 8, 2026, 9:48 p.m.