Triple
T20204080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schönried |
E493302
|
entity |
| Predicate | hasCantonCode |
P28599
|
FINISHED |
| Object |
BE
BE is the abbreviation for the Swiss canton of Bern, a large, predominantly German-speaking canton that includes the federal city of Bern.
|
E1297149
|
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: BE | Statement: [Schönried, hasCantonCode, BE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BE Context triple: [Schönried, hasCantonCode, BE]
-
A.
BE
BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
-
B.
BE
BE is the Indian Railways station code for Bareilly Junction railway station in Uttar Pradesh, India.
-
C.
BE
BE is the second and final studio album by English rock band Beady Eye, known for its experimental production and more psychedelic sound compared to their debut.
-
D.
BE
BE is the official station code used to identify Berri-UQAM, a major Montreal Metro interchange station.
-
E.
BE
BE was the IATA airline designator for British European, a regional airline based in the United Kingdom.
- 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: BE Triple: [Schönried, hasCantonCode, BE]
Generated description
BE is the abbreviation for the Swiss canton of Bern, a large, predominantly German-speaking canton that includes the federal city of Bern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BE Target entity description: BE is the abbreviation for the Swiss canton of Bern, a large, predominantly German-speaking canton that includes the federal city of Bern.
-
A.
BE
chosen
BE is the vehicle registration code for the Swiss canton of Bern.
-
B.
BE
BE is the official station code used to identify Berri-UQAM, a major Montreal Metro interchange station.
-
C.
BE
BE is the common abbreviation for Bloco de Esquerda, a left-wing political party in Portugal known for its progressive and socialist positions.
-
D.
BE
BE is the common abbreviation for the Brampton Excelsiors, a historic Canadian box lacrosse club based in Brampton, Ontario.
-
E.
BE
BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
- F. None of above.
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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8f90108190b72e37c0056de0f8 |
completed | April 20, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843ea96988190a6ef505492dbfe9d |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a08450b54dc8190978326574995952d |
completed | May 16, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845e241048190ba7fb657d4dca3d7 |
completed | May 16, 2026, 10:24 a.m. |
Created at: April 11, 2026, 11:38 p.m.