Triple
T13177531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konstantin von Neurath |
E313136
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Enzweihingen |
E313136
|
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: Enzweihingen | Statement: [Konstantin von Neurath, placeOfDeath, Enzweihingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enzweihingen Context triple: [Konstantin von Neurath, placeOfDeath, Enzweihingen]
-
A.
Enzweihingen
chosen
Enzweihingen is a village in the German state of Baden-Württemberg, known historically as the place where former Nazi foreign minister Konstantin von Neurath died.
-
B.
Ehingen
Ehingen is a town in the state of Baden-Württemberg in southern Germany, known for its historic center and location along the Danube River.
-
C.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
D.
Ziegenhain
Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
-
E.
Hiltenfingen
Hiltenfingen is a small municipality in the Swabian region of Bavaria in southern Germany.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c322fdc8190b05f2287eba9dda6 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5ea93bc81908087326b3d043727 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:14 p.m.