Triple
T13866551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EHC Kloten |
E333340
|
entity |
| Predicate | homeArenaFormerName |
P904
|
FINISHED |
| Object |
Schluefweg
Schluefweg is the former ice hockey arena in Kloten, Switzerland, that long served as the home venue of the EHC Kloten club.
|
E1066631
|
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: Schluefweg | Statement: [EHC Kloten, homeArenaFormerName, Schluefweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schluefweg Context triple: [EHC Kloten, homeArenaFormerName, Schluefweg]
-
A.
Ith-Hils-Weg
Ith-Hils-Weg is a long-distance hiking trail in Lower Saxony, Germany, that follows the scenic Ith and Hils ridges through forests, cliffs, and karst landscapes.
-
B.
Baumschulenweg
Baumschulenweg is a residential and historically working-class locality in southeastern Berlin, known for its proximity to the Spree River and extensive green areas.
-
C.
Duenweg
Duenweg is a small city located in Jasper County in southwestern Missouri, United States.
-
D.
Strobelallee
Strobelallee is a street in Dortmund, Germany, known for running alongside the Signal Iduna Park football stadium.
-
E.
Bolkerstraße
Bolkerstraße is a historic and lively street in Düsseldorf’s Altstadt, known for its dense concentration of bars, restaurants, and nightlife.
- 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: Schluefweg Triple: [EHC Kloten, homeArenaFormerName, Schluefweg]
Generated description
Schluefweg is the former ice hockey arena in Kloten, Switzerland, that long served as the home venue of the EHC Kloten club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schluefweg Target entity description: Schluefweg is the former ice hockey arena in Kloten, Switzerland, that long served as the home venue of the EHC Kloten club.
-
A.
Ith-Hils-Weg
Ith-Hils-Weg is a long-distance hiking trail in Lower Saxony, Germany, that follows the scenic Ith and Hils ridges through forests, cliffs, and karst landscapes.
-
B.
Baumschulenweg
Baumschulenweg is a residential and historically working-class locality in southeastern Berlin, known for its proximity to the Spree River and extensive green areas.
-
C.
Duenweg
Duenweg is a small city located in Jasper County in southwestern Missouri, United States.
-
D.
Strobelallee
Strobelallee is a street in Dortmund, Germany, known for running alongside the Signal Iduna Park football stadium.
-
E.
Bolkerstraße
Bolkerstraße is a historic and lively street in Düsseldorf’s Altstadt, known for its dense concentration of bars, restaurants, and nightlife.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c1039128819086cfe9f966b9f142 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c1e7efd88190ac07472647da69e7 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c33c2f34819084502d5f03f09ddd |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:14 p.m.