Triple
T15046063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kladow |
E379227
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Seeburg |
E783891
|
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: Seeburg | Statement: [Kladow, adjacentTo, Seeburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seeburg Context triple: [Kladow, adjacentTo, Seeburg]
-
A.
Seeburg
chosen
Seeburg is the former German name of the town now known as Jeziorany in northern Poland.
-
B.
Rock-Ola
Rock-Ola was a legendary Madrid nightclub that became one of the central hubs of Spain’s Movida Madrileña countercultural movement in the early 1980s.
-
C.
Rudolph Wurlitzer Company
Rudolph Wurlitzer Company was a prominent American manufacturer best known for its pianos, jukeboxes, and iconic theatre pipe organs used in cinemas and concert halls throughout the 20th century.
-
D.
Saenger Amusement Company
Saenger Amusement Company was a prominent early 20th-century American theater chain and entertainment company known for developing lavish movie palaces across the Southern United States.
-
E.
Seiberling
Seiberling is a surname most notably associated with American industrialist Frank Seiberling, co-founder of the Goodyear Tire & Rubber Company.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.