Triple
T22173724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannistor@de |
E547987
|
entity |
| Predicate | hasNameForm |
P19207
|
FINISHED |
| Object | "Johannistor" |
—
|
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: "Johannistor" | Statement: [Johannistor@de, hasNameForm, "Johannistor"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Johannistor" Context triple: [Johannistor@de, hasNameForm, "Johannistor"]
-
A.
Johannsson
Johannsson is a character in August Strindberg’s expressionist play "The Ghost Sonata," contributing to its eerie, dreamlike exploration of guilt and illusion.
-
B.
Johannitsa
Johannitsa was a medieval Bulgarian ruler better known as Kaloyan, the tsar who significantly expanded the Second Bulgarian Empire in the early 13th century.
-
C.
Johanne
Johanne is the given first name of the German Dada artist Hannah Höch, a pioneering figure in photomontage.
-
D.
Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
E.
Johannistor@de
chosen
Johannistor@de is the German-language designation of the historical city gate known as the Johannistor.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6a9370819098ad65fede676c2b |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.