Triple
T15968727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinhagen (Westphalia) |
E387264
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Brockhagen
Brockhagen is a village and district within the municipality of Steinhagen in the German state of North Rhine-Westphalia.
|
E1235890
|
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: Brockhagen | Statement: [Steinhagen (Westphalia), hasSubdivision, Brockhagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brockhagen Context triple: [Steinhagen (Westphalia), hasSubdivision, Brockhagen]
-
A.
Boltenhagen
Boltenhagen is a Baltic Sea seaside resort town in northern Germany known for its beaches and tourism.
-
B.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Bockenem
Bockenem is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim district.
-
E.
Eppenhain
Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
- 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: Brockhagen Triple: [Steinhagen (Westphalia), hasSubdivision, Brockhagen]
Generated description
Brockhagen is a village and district within the municipality of Steinhagen in the German state of North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brockhagen Target entity description: Brockhagen is a village and district within the municipality of Steinhagen in the German state of North Rhine-Westphalia.
-
A.
Boltenhagen
Boltenhagen is a Baltic Sea seaside resort town in northern Germany known for its beaches and tourism.
-
B.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Bockenem
Bockenem is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim district.
-
E.
Eppenhain
Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
- 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_6a00bafb761881908e7a891ef390982a |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bb798f2881909ef049c15e452438 |
completed | May 10, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bbcb80788190bf41001d0cdebe44 |
completed | May 10, 2026, 5:09 p.m. |
Created at: April 10, 2026, 4:54 a.m.