Triple
T9080390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vechta |
E217603
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
SFN Vechta
SFN Vechta is a German sports club based in the town of Vechta, offering various athletic activities and teams for local participants.
|
E776337
|
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: SFN Vechta | Statement: [Vechta, hasSportsClub, SFN Vechta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFN Vechta Context triple: [Vechta, hasSportsClub, SFN Vechta]
-
A.
DHV Speyer
DHV Speyer is a specialized German higher education institution focused on administrative sciences, public law, and public management.
-
B.
ZF Friedrichshafen
ZF Friedrichshafen is a German automotive supplier specializing in driveline, chassis, and active and passive safety technologies for vehicles worldwide.
-
C.
RSC Bremerhaven
RSC Bremerhaven was the original ice hockey club from Bremerhaven, Germany, that later evolved into the professional team now known as the Fischtown Pinguins Bremerhaven.
-
D.
Selhof
Selhof is a district of the German town of Bad Honnef in the state of North Rhine-Westphalia.
-
E.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
- 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: SFN Vechta Triple: [Vechta, hasSportsClub, SFN Vechta]
Generated description
SFN Vechta is a German sports club based in the town of Vechta, offering various athletic activities and teams for local participants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFN Vechta Target entity description: SFN Vechta is a German sports club based in the town of Vechta, offering various athletic activities and teams for local participants.
-
A.
DHV Speyer
DHV Speyer is a specialized German higher education institution focused on administrative sciences, public law, and public management.
-
B.
ZF Friedrichshafen
ZF Friedrichshafen is a German automotive supplier specializing in driveline, chassis, and active and passive safety technologies for vehicles worldwide.
-
C.
RSC Bremerhaven
RSC Bremerhaven was the original ice hockey club from Bremerhaven, Germany, that later evolved into the professional team now known as the Fischtown Pinguins Bremerhaven.
-
D.
Selhof
Selhof is a district of the German town of Bad Honnef in the state of North Rhine-Westphalia.
-
E.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9607942c8190a21620892ce3cbe5 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe28ae548190924cc7bbf453f3f3 |
completed | April 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69d000d4a4548190939a9a9946be469b |
completed | April 3, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001b245f08190a8e5c53c570b20a0 |
completed | April 3, 2026, 6:06 p.m. |
Created at: March 30, 2026, 7:13 p.m.