Triple
T3617249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.A. Live |
E76632
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | AEG |
E222077
|
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 | Statement: [L.A. Live, ownedBy, AEG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEG Context triple: [L.A. Live, ownedBy, AEG]
-
A.
AEG Europe
chosen
AEG Europe is a leading live entertainment and sports company that owns and operates major venues and events across Europe.
-
B.
Blomberg
Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
-
C.
Gaggenau
Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
-
D.
Bosch
Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
-
E.
Bosch
Bosch is a critically acclaimed American crime drama television series centered on LAPD detective Harry Bosch, adapted from Michael Connelly’s bestselling novels.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27dd030819083d34fee0c06612a |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f0ac4208190b38214ecb8c043e8 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.