Triple
T23054829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Gautet |
E574124
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Strelsau |
—
|
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: Strelsau | Statement: [De Gautet, associatedWith, Strelsau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strelsau Context triple: [De Gautet, associatedWith, Strelsau]
-
A.
Strelsau
chosen
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
B.
Kohlmar
Kohlmar is a German-origin surname most notably associated with figures in the American film industry, including producer Fred Kohlmar.
-
C.
Steindorf
Steindorf is a small municipality in the Bavarian district of Aichach-Friedberg in southern Germany.
-
D.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
E.
Werwath
Werwath is a German-origin surname most notably associated with Oscar Werwath, an engineer and educator who founded the Milwaukee School of Engineering.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867eaed0819095c7da6b06101b12 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.