Triple
T22823655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindlingen |
E565292
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hattersheim am Main |
—
|
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: Hattersheim am Main | Statement: [Sindlingen, locatedNear, Hattersheim am Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hattersheim am Main Context triple: [Sindlingen, locatedNear, Hattersheim am Main]
-
A.
Hattersheim am Main
chosen
Hattersheim am Main is a town in the German state of Hesse, located on the River Main near Frankfurt within the Rhine-Main metropolitan region.
-
B.
Hochheim am Main
Hochheim am Main is a historic wine-producing town in the German state of Hesse, renowned for its Riesling wines and scenic location along the Main River near the Rheingau region.
-
C.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
D.
Nettersheim
Nettersheim is a municipality in the Eifel region of North Rhine-Westphalia, Germany, known for its natural landscapes and archaeological sites.
-
E.
Hochstadt am Main
Hochstadt am Main is a small municipality in the Upper Franconia region of Bavaria, Germany, situated along the Main River.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd2005081909baef070124eb839 |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:34 p.m.