Triple
T14859396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirchberg |
E349448
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Luxexpo The Box |
E297514
|
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: Luxexpo The Box | Statement: [Kirchberg, hasLandmark, Luxexpo The Box]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luxexpo The Box Context triple: [Kirchberg, hasLandmark, Luxexpo The Box]
-
A.
Luxexpo The Box exhibition center
chosen
Luxexpo The Box exhibition center is a major trade fair and events venue in Luxembourg City, hosting exhibitions, conferences, and large-scale public and professional events.
-
B.
The Expo
The Expo is a well-known multipurpose event and exhibition venue in Portland, Oregon, hosting trade shows, conventions, and community events.
-
C.
Expo
Expo is an open-source platform and toolchain for building, deploying, and iterating on React Native applications.
-
D.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
-
E.
Palexpo
Palexpo is a large convention and exhibition center in Geneva, Switzerland, known for hosting major international events such as the Geneva International Motor Show.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44598e48190b759a05ed2d9ecaf |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650a43bc8190b836fe690d2a3c71 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.