Triple
T5263700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CeBIT |
E118886
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CeBIT |
E118886
|
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: CeBIT | Statement: [CeBIT, shortName, CeBIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CeBIT Context triple: [CeBIT, shortName, CeBIT]
-
A.
CeBIT trade fair
chosen
The CeBIT trade fair was one of the world’s largest and most influential exhibitions for information technology and telecommunications, held annually in Hanover, Germany.
-
B.
IDG World Expo
IDG World Expo is a trade show and conference organizer known for producing major technology events and exhibitions worldwide.
-
C.
Hannover Messe
Hannover Messe is one of the world’s largest and most influential industrial technology trade fairs, held annually in Hanover, Germany.
-
D.
Messe Berlin
Messe Berlin is a major exhibition and trade fair center in Berlin, Germany, hosting international trade shows, conferences, and large-scale events.
-
E.
CES
CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd2eff4819087420e30c140e6f6 |
completed | March 20, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe88ba588190b130f1857536816f |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.