Triple
T22789234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bestwig |
E564062
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Heringhausen
Heringhausen is a village and district (Ortsteil) of the municipality of Bestwig in the Hochsauerland region of North Rhine-Westphalia, Germany.
|
E1554620
|
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: Heringhausen | Statement: [Bestwig, hasSubdivision, Heringhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heringhausen Context triple: [Bestwig, hasSubdivision, Heringhausen]
-
A.
Ehringshausen
Ehringshausen is a municipality in the Lahn-Dill district of the German state of Hesse.
-
B.
Willingshausen
Willingshausen is a small municipality in central Germany known for its historic artists’ colony and rural cultural heritage.
-
C.
Hornau
Hornau is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany.
-
D.
Hückelhoven
Hückelhoven is a town in western Germany’s North Rhine-Westphalia region, known for its location in the Rhineland and its historical ties to coal mining.
-
E.
Meinerzhagen
Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
- 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: Heringhausen Triple: [Bestwig, hasSubdivision, Heringhausen]
Generated description
Heringhausen is a village and district (Ortsteil) of the municipality of Bestwig in the Hochsauerland region of North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heringhausen Target entity description: Heringhausen is a village and district (Ortsteil) of the municipality of Bestwig in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
A.
Ehringshausen
Ehringshausen is a municipality in the Lahn-Dill district of the German state of Hesse.
-
B.
Willingshausen
Willingshausen is a small municipality in central Germany known for its historic artists’ colony and rural cultural heritage.
-
C.
Hornau
Hornau is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany.
-
D.
Hückelhoven
Hückelhoven is a town in western Germany’s North Rhine-Westphalia region, known for its location in the Rhineland and its historical ties to coal mining.
-
E.
Meinerzhagen
Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c33be7c8190ad22391a85fa000d |
completed | April 29, 2026, 3:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e905b148190b319d88ca3e7ca8e |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0b9f0e73048190ac2e1ad53912dde5 |
completed | May 18, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9ff292b88190b1f318a8a801fbd1 |
completed | May 18, 2026, 11:25 p.m. |
Created at: April 17, 2026, 3:29 p.m.