Triple
T8439835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elfride Heidegger |
E199321
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Messkirch |
E188039
|
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: Messkirch | Statement: [Elfride Heidegger, residence, Messkirch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messkirch Context triple: [Elfride Heidegger, residence, Messkirch]
-
A.
Messkirch
chosen
Messkirch is a small town in southwestern Germany best known as the birthplace of philosopher Martin Heidegger.
-
B.
Lorenzkirch
Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
-
C.
Oberkirch
Oberkirch is a town in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its wine production and picturesque location at the edge of the Black Forest.
-
D.
Nunkirchen
Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
-
E.
Schönaich
Schönaich is a municipality in the German state of Baden-Württemberg, known for its local community life and international town twinning partnerships.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13708988190a534e38d8254c9bd |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39a951c881909cfa0a35feeb2ee0 |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:08 p.m.