Triple
T10377530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCH Group |
E244543
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
MCH Messe Zürich
MCH Messe Zürich is a Swiss exhibition and event company that operates major trade fairs and conventions in Zurich as part of the MCH Group.
|
E861505
|
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: MCH Messe Zürich | Statement: [MCH Group, hasSubsidiary, MCH Messe Zürich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCH Messe Zürich Context triple: [MCH Group, hasSubsidiary, MCH Messe Zürich]
-
A.
MCH Messe Basel
MCH Messe Basel is a Swiss exhibition and event venue operator in Basel, known for hosting major international trade fairs and conferences.
-
B.
Messe Basel
Messe Basel is a major exhibition and convention center in Basel, Switzerland, known for hosting prominent international trade fairs and cultural events.
-
C.
Messe
Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
-
D.
Nürnberg Messe
Nürnberg Messe is one of Germany’s largest international trade fair and exhibition centers, hosting numerous global industry events and conferences in Nuremberg.
-
E.
Koelnmesse
Koelnmesse is a major international trade fair and exhibition company based in Cologne, Germany, known for organizing prominent events across various industries.
- 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: MCH Messe Zürich Triple: [MCH Group, hasSubsidiary, MCH Messe Zürich]
Generated description
MCH Messe Zürich is a Swiss exhibition and event company that operates major trade fairs and conventions in Zurich as part of the MCH Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MCH Messe Zürich Target entity description: MCH Messe Zürich is a Swiss exhibition and event company that operates major trade fairs and conventions in Zurich as part of the MCH Group.
-
A.
MCH Messe Basel
MCH Messe Basel is a Swiss exhibition and event venue operator in Basel, known for hosting major international trade fairs and conferences.
-
B.
Messe Basel
Messe Basel is a major exhibition and convention center in Basel, Switzerland, known for hosting prominent international trade fairs and cultural events.
-
C.
Messe
Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
-
D.
Nürnberg Messe
Nürnberg Messe is one of Germany’s largest international trade fair and exhibition centers, hosting numerous global industry events and conferences in Nuremberg.
-
E.
Koelnmesse
Koelnmesse is a major international trade fair and exhibition company based in Cologne, Germany, known for organizing prominent events across various industries.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98f312481909f7276fc3762d7bc |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb98c52c8190a52682feacc2bd0d |
completed | April 9, 2026, 7:18 p.m. |
| NEDg | Description generation | batch_69d8276261808190b5ae6fa77f0e145d |
completed | April 9, 2026, 10:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859b05a3881908c97cb173d160e44 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:03 p.m.