Triple
T11651220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripadvisor Rentals |
E276907
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Tripadvisor |
E597251
|
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: Tripadvisor | Statement: [Tripadvisor Rentals, associatedWith, Tripadvisor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tripadvisor Context triple: [Tripadvisor Rentals, associatedWith, Tripadvisor]
-
A.
TripAdvisor
chosen
TripAdvisor is a popular online travel platform that provides user-generated reviews, ratings, and booking tools for hotels, restaurants, and attractions worldwide.
-
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.
Yelp
Yelp is an online platform that hosts user-generated reviews and ratings of local businesses such as restaurants, shops, and services.
-
E.
Fodor's Travel
Fodor's Travel is a long-established publisher of travel guides and related content known for its detailed, practical information for travelers worldwide.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee8805a91081909ff29b3357e351ee |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.