Triple
T13662848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sankt Ingbert |
E327041
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object | St. Ingbert |
E327041
|
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: St. Ingbert | Statement: [Sankt Ingbert, hasShortName, St. Ingbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Ingbert Context triple: [Sankt Ingbert, hasShortName, St. Ingbert]
-
A.
Sankt Ingbert
chosen
Sankt Ingbert is a town in the German state of Saarland, known historically for its coal and steel industries and its proximity to the French border.
-
B.
Wiehl
Wiehl is a small town in western Germany’s North Rhine-Westphalia region, known for its picturesque setting in the hilly Bergisches Land and its mix of rural charm and light industry.
-
C.
Passenheim
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
-
D.
Botenheim
Botenheim is a small village and district (Ortsteil) of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
E.
Neunkirchen
Neunkirchen is an industrial town in Austria’s Lower Austria region, known historically for its manufacturing and metalworking industries.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d96bc4819083f8b26dfdb3590f |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:52 p.m.