Triple
T9745844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main River region |
E236304
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Volkach |
E599919
|
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: Volkach | Statement: [Main River region, containsCity, Volkach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volkach Context triple: [Main River region, containsCity, Volkach]
-
A.
Volkach
chosen
Volkach is a small Franconian wine-growing town in northern Bavaria, Germany, known for its vineyards along the River Main and historic old town.
-
B.
Zachenberg
Zachenberg is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Adršpach
Adršpach is a Czech village famous for its dramatic sandstone rock formations and scenic hiking area known as the Adršpach-Teplice Rocks.
-
D.
Uichteritz
Uichteritz is a small municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
-
E.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f65ad788190b68d731b6f516d93 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b004a6e88190a974f4a8973f91ef |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:23 p.m.