Triple
T12330440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Möhra |
E293945
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Möhra (German) |
E293945
|
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: Möhra (German) | Statement: [Möhra, hasNameInLanguage, Möhra (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Möhra (German) Context triple: [Möhra, hasNameInLanguage, Möhra (German)]
-
A.
Möhra
chosen
Möhra is a small village in Thuringia, Germany, best known as the ancestral home of Martin Luther’s family.
-
B.
Mohrungen
Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
-
C.
Mössinger
Mössinger is a German surname most notably borne by Ingrid Mössinger, a prominent figure in the German art and museum world.
-
D.
Mülbracht
Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
-
E.
Mönchgut
Mönchgut is a scenic peninsula on the southeastern tip of Germany’s Rügen Island, known for its coastal landscapes, traditional fishing villages, and protected natural areas.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e9114f48190988b84eaec2e810f |
completed | May 2, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:53 p.m.