Triple
T14992834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Novo |
E373879
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | AEG Live |
E89003
|
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: AEG Live | Statement: [The Novo, operator, AEG Live]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEG Live Context triple: [The Novo, operator, AEG Live]
-
A.
AEG Live
chosen
AEG Live is a major global live entertainment company that promotes concerts and manages venues and tours for top artists.
-
B.
AEG
AEG is a historic German electrical engineering and electronics company known for its pioneering role in power systems, appliances, and industrial technology.
-
C.
AEG Europe
AEG Europe is a leading live entertainment and sports company that owns and operates major venues and events across Europe.
-
D.
EC Bad Nauheim
EC Bad Nauheim is a professional ice hockey club based in Bad Nauheim, Germany, known for competing in the country’s top-tier and second-tier leagues over its history.
-
E.
Teyjus
Teyjus is a software system that provides a concrete implementation of the LambdaProlog logic programming language, supporting higher-order and modular logic programming.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dc7f4b48190b95af06d443fa37c |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 2:53 a.m.