Triple
T8465216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Würzburg A |
E200143
|
entity |
| Predicate | hasSuccessor |
P78
|
FINISHED |
| Object | Würzburg D |
E200143
|
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: Würzburg D | Statement: [Würzburg A, hasSuccessor, Würzburg D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Würzburg D Context triple: [Würzburg A, hasSuccessor, Würzburg D]
-
A.
Würzburg A
chosen
Würzburg A was an early variant of the German World War II Würzburg ground-based fire-control radar used primarily for directing anti-aircraft artillery.
-
B.
Würzburg (district)
Würzburg (district) is a rural administrative district in the Bavarian region of Lower Franconia in Germany, surrounding but not including the city of Würzburg.
-
C.
Würzburg, Germany
Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
-
D.
Würzburg
Würzburg is a historic city in southern Germany known for its baroque architecture, the Würzburg Residence palace, and its location along the Main River in the Franconia wine region.
-
E.
Bad Wurzach
Bad Wurzach is a spa town in the Allgäu region of southern Germany, known for its moorland landscapes and therapeutic mud baths.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39e0d7788190add03271c940e1ff |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:11 p.m.