Triple
T12566979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Westphalia |
E295497
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Bad Endbach
Bad Endbach is a small spa town in central Germany known for its therapeutic facilities and scenic natural surroundings.
|
E830457
|
NE FINISHED |
How this triple was built (4 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: Bad Endbach | Statement: [Province of Westphalia, containsSettlement, Bad Endbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Endbach Context triple: [Province of Westphalia, containsSettlement, Bad Endbach]
-
A.
Bad Endbach
Bad Endbach is a small spa municipality in the German state of Hesse, known for its health resorts and scenic natural surroundings.
-
B.
Eberbach
Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
-
C.
Aubach
Aubach is a small stream in northern Germany that serves as one of the tributaries feeding Lake Schwerin.
-
D.
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.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bad Endbach Triple: [Province of Westphalia, containsSettlement, Bad Endbach]
Generated description
Bad Endbach is a small spa town in central Germany known for its therapeutic facilities and scenic natural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Endbach Target entity description: Bad Endbach is a small spa town in central Germany known for its therapeutic facilities and scenic natural surroundings.
-
A.
Bad Endbach
chosen
Bad Endbach is a small spa municipality in the German state of Hesse, known for its health resorts and scenic natural surroundings.
-
B.
Eberbach
Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
-
C.
Aubach
Aubach is a small stream in northern Germany that serves as one of the tributaries feeding Lake Schwerin.
-
D.
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.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- F. None of above.
Provenance (5 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a325948190994bcfc9d571a3a8 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d672808190b72a923e285a91bb |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f68687e15481908d1ddd017747695f |
completed | May 2, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686ec54288190bd1adcbd9c900c90 |
completed | May 2, 2026, 11:21 p.m. |
Created at: April 8, 2026, 11:49 p.m.