Triple
T3022598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macworld New York 1999 |
E82496
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object | IDG World Expo |
E198715
|
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: IDG World Expo | Statement: [Macworld New York 1999, organizer, IDG World Expo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IDG World Expo Context triple: [Macworld New York 1999, organizer, IDG World Expo]
-
A.
IDG World Expo
chosen
IDG World Expo is a trade show and conference organizer known for producing major technology events and exhibitions worldwide.
-
B.
CeBIT trade fair
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.
-
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.
UBM Tech
UBM Tech was a business-to-business media and information company focused on the technology industry, known for publishing specialized tech publications and running industry events and conferences.
-
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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a963034819093d96566e9b0cea9 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deafdcb881908174331d5bfc6349 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3 p.m.