Triple
T18214203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadtrat Bern |
E436109
|
entity |
| Predicate | hasPoliticalGroup |
P23895
|
FINISHED |
| Object |
GLP-Fraktion
GLP-Fraktion is the parliamentary group of the Green Liberal Party represented in the city council of Bern, Switzerland.
|
E1312538
|
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: GLP-Fraktion | Statement: [Stadtrat Bern, hasPoliticalGroup, GLP-Fraktion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLP-Fraktion Context triple: [Stadtrat Bern, hasPoliticalGroup, GLP-Fraktion]
-
A.
GLP
GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
-
B.
Lextran
Lextran is the public bus transit system serving Lexington and surrounding areas in Fayette County, Kentucky.
-
C.
Neogranadine
Neogranadine refers to an inhabitant or native of the former Republic of New Granada, a 19th-century state in northern South America that encompassed much of present-day Colombia and surrounding regions.
-
D.
LGC
LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
-
E.
Hépar
Hépar is a French natural mineral water brand known for its high magnesium content and digestive health benefits.
- 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: GLP-Fraktion Triple: [Stadtrat Bern, hasPoliticalGroup, GLP-Fraktion]
Generated description
GLP-Fraktion is the parliamentary group of the Green Liberal Party represented in the city council of Bern, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GLP-Fraktion Target entity description: GLP-Fraktion is the parliamentary group of the Green Liberal Party represented in the city council of Bern, Switzerland.
-
A.
GLP
GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
-
B.
Lextran
Lextran is the public bus transit system serving Lexington and surrounding areas in Fayette County, Kentucky.
-
C.
Neogranadine
Neogranadine refers to an inhabitant or native of the former Republic of New Granada, a 19th-century state in northern South America that encompassed much of present-day Colombia and surrounding regions.
-
D.
LGC
LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
-
E.
Hépar
Hépar is a French natural mineral water brand known for its high magnesium content and digestive health benefits.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e475953c81909f792793ded2057e |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f17334c81909bc1d27bf1119502 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fdd9c4c819083b450657d0ece43 |
completed | May 12, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a0d6de8c8190b1f94c7de0856143 |
completed | May 12, 2026, 9:51 p.m. |
Created at: April 10, 2026, 10:32 a.m.