Triple
T920890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikipedia |
E19879
|
entity |
| Predicate | hasSisterProject |
P14971
|
FINISHED |
| Object | Wikivoyage |
E37907
|
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: Wikivoyage | Statement: [Wikipedia, hasSisterProject, Wikivoyage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikivoyage Context triple: [Wikipedia, hasSisterProject, Wikivoyage]
-
A.
Wikivoyage
chosen
Wikivoyage is a free, collaboratively edited online travel guide that provides up-to-date information and tips for destinations around the world.
-
B.
Travelogue
Travelogue is a 2002 double album by Joni Mitchell featuring orchestral reworkings of songs from across her career.
-
C.
Universal Destinations & Experiences
Universal Destinations & Experiences is the theme park and resort division of NBCUniversal that develops and operates Universal-branded entertainment destinations worldwide.
-
D.
Tours
Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
-
E.
TripSavvy
TripSavvy is a travel-focused online publication offering destination guides, tips, and advice for travelers.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b74b789c8190b174f9b17dc46f9e |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf6486d88190b53cd743b08eef33 |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:40 p.m.