Triple
T15968832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enger |
E387266
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Herringhausen (Enger)
Herringhausen (Enger) is a district of the town of Enger in North Rhine-Westphalia, Germany.
|
E1186057
|
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: Herringhausen (Enger) | Statement: [Enger, subdivision, Herringhausen (Enger)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herringhausen (Enger) Context triple: [Enger, subdivision, Herringhausen (Enger)]
-
A.
Meinerzhagen
Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
-
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.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
-
D.
Bentheim
Bentheim is a historical county in Lower Saxony, Germany, known for its Reformed Protestant heritage and the former County of Bentheim.
-
E.
Ehringshausen
Ehringshausen is a municipality in the Lahn-Dill district of the German state of Hesse.
- 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: Herringhausen (Enger) Triple: [Enger, subdivision, Herringhausen (Enger)]
Generated description
Herringhausen (Enger) is a district of the town of Enger in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herringhausen (Enger) Target entity description: Herringhausen (Enger) is a district of the town of Enger in North Rhine-Westphalia, Germany.
-
A.
Meinerzhagen
Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
-
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.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
-
D.
Bentheim
Bentheim is a historical county in Lower Saxony, Germany, known for its Reformed Protestant heritage and the former County of Bentheim.
-
E.
Ehringshausen
Ehringshausen is a municipality in the Lahn-Dill district of the German state of Hesse.
- F. None of above. chosen
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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.