Triple
T17393551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roter Turm |
E422890
|
entity |
| Predicate | nameMeaning |
P453
|
FINISHED |
| Object | Red Tower |
—
|
NE NERFINISHED |
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: Red Tower | Statement: [Roter Turm, nameMeaning, Red Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Tower Context triple: [Roter Turm, nameMeaning, Red Tower]
-
A.
Red Tower
chosen
Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
-
B.
Red Tower
Red Tower is a historic defensive tower incorporated into the medieval city walls of York, England.
-
C.
The Red Tower
The Red Tower is a metaphysical painting by Giorgio de Chirico that exemplifies his enigmatic cityscapes with stark architecture, long shadows, and a dreamlike, unsettling atmosphere.
-
D.
Red Tower of Death
Red Tower of Death is a notorious historical structure in the Czech Republic associated with harsh imprisonment and executions during the communist era.
-
E.
The Black Prism
The Black Prism is the first novel in Brent Weeks' epic fantasy Lightbringer series, introducing a world where magic is based on the manipulation of light and color.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abbd84881908af91bb7c9784026 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.