Triple
T16874223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baiersbronn |
E421254
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Heselbach
Heselbach is a small village and district within the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany.
|
E1238106
|
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: Heselbach | Statement: [Baiersbronn, hasPart, Heselbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heselbach Context triple: [Baiersbronn, hasPart, Heselbach]
-
A.
Uhlenhorst
Uhlenhorst is a well-to-do residential and cultural district in Hamburg, Germany, known for its waterfront location, historic villas, and proximity to the Alster lakes.
-
B.
Hollenbach
Hollenbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
-
C.
Neesen
Neesen is a former locality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
-
D.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
E.
Hagestein
Hagestein is a small village in the Dutch province of Utrecht, known for its historic church and rural character along the Lek River.
- 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: Heselbach Triple: [Baiersbronn, hasPart, Heselbach]
Generated description
Heselbach is a small village and district within the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heselbach Target entity description: Heselbach is a small village and district within the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany.
-
A.
Uhlenhorst
Uhlenhorst is a well-to-do residential and cultural district in Hamburg, Germany, known for its waterfront location, historic villas, and proximity to the Alster lakes.
-
B.
Hollenbach
Hollenbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
-
C.
Neesen
Neesen is a former locality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
-
D.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
E.
Hagestein
Hagestein is a small village in the Dutch province of Utrecht, known for its historic church and rural character along the Lek River.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b2e67c81908e2313491d16353f |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c332051c8190b086a6e29b8d9c61 |
completed | May 10, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c434d8f88190a71c1c4c8e475e33 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.