Triple
T2888188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wotif Group |
E59556
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Wotif.com
Wotif.com is an Australian online travel booking website best known for offering discounted hotel and accommodation deals.
|
E59556
|
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: Wotif.com | Statement: [Wotif Group, brand, Wotif.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wotif.com Context triple: [Wotif Group, brand, Wotif.com]
-
A.
Wotif Group
Wotif Group is an online travel company best known for its hotel and accommodation booking platforms, particularly in the Australian and Asia-Pacific markets.
-
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.
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.
-
D.
Priceline
Priceline is a major online travel agency known for offering discounted rates on flights, hotels, rental cars, and vacation packages.
-
E.
Expedia Group
Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
- 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: Wotif.com Triple: [Wotif Group, brand, Wotif.com]
Generated description
Wotif.com is an Australian online travel booking website best known for offering discounted hotel and accommodation deals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wotif.com Target entity description: Wotif.com is an Australian online travel booking website best known for offering discounted hotel and accommodation deals.
-
A.
Wotif Group
chosen
Wotif Group is an online travel company best known for its hotel and accommodation booking platforms, particularly in the Australian and Asia-Pacific markets.
-
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.
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.
-
D.
Priceline
Priceline is a major online travel agency known for offering discounted rates on flights, hotels, rental cars, and vacation packages.
-
E.
Expedia Group
Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
- F. None of above.
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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04918908190aad08defd1b26d97 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0317601688190a8a99644579b137c |
completed | March 10, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69b032aa567081909402532d6fe438bc |
completed | March 10, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b033db495c8190bb6989210d72307b |
completed | March 10, 2026, 3:08 p.m. |
Created at: March 6, 2026, 10:03 p.m.