Triple
T9868322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braunfels |
E239890
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Altenkirchen |
E476873
|
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: Altenkirchen | Statement: [Braunfels, hasSubdivision, Altenkirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altenkirchen Context triple: [Braunfels, hasSubdivision, Altenkirchen]
-
A.
Altenkirchen
chosen
Altenkirchen is a small town in the state of Rhineland-Palatinate in western Germany, known as a local administrative and commercial center in the Westerwald region.
-
B.
Altenau
Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
-
C.
Lorenzkirch
Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
-
D.
Hunspach
Hunspach is a picturesque village in northeastern France’s Alsace region, noted for its traditional half-timbered houses and designation as one of the “Most Beautiful Villages of France.”
-
E.
Geilenkirchen
Geilenkirchen is a town in western Germany best known for hosting a major NATO airbase that serves as the main hub for the alliance’s Airborne Early Warning and Control (AWACS) operations.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d34e4c81908c0fc14dd6d015cc |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22886b2388190a4320eeb81f3e433 |
completed | April 5, 2026, 9:16 a.m. |
Created at: March 30, 2026, 8:36 p.m.