Triple
T14170408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villiers-le-Bel |
E351189
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Boras
Borås is a city in western Sweden known for its historic textile industry, design heritage, and role as a regional commercial center.
|
E1082957
|
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: Boras | Statement: [Villiers-le-Bel, hasTwinTown, Boras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boras Context triple: [Villiers-le-Bel, hasTwinTown, Boras]
-
A.
Blaize
Blaize is a given name and surname, typically considered a modern or alternative spelling of Blaise.
-
B.
Brenly
Brenly is the surname of Bob Brenly, a former Major League Baseball catcher, manager, and broadcaster best known for managing the Arizona Diamondbacks to the 2001 World Series title.
-
C.
Boros
Boros is a Hungarian-origin surname borne by various notable individuals in fields such as the arts, sports, and science.
-
D.
Boriska
"Boriska" is a psychedelic rock song by the experimental duo The Claypool Lennon Delirium, known for its surreal lyrics and eclectic, genre-blending sound.
-
E.
Guzan
Guzan is the surname of American professional soccer goalkeeper Brad Guzan, known for his career in Major League Soccer and the U.S. national team.
- 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: Boras Triple: [Villiers-le-Bel, hasTwinTown, Boras]
Generated description
Borås is a city in western Sweden known for its historic textile industry, design heritage, and role as a regional commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boras Target entity description: Borås is a city in western Sweden known for its historic textile industry, design heritage, and role as a regional commercial center.
-
A.
Blaize
Blaize is a given name and surname, typically considered a modern or alternative spelling of Blaise.
-
B.
Brenly
Brenly is the surname of Bob Brenly, a former Major League Baseball catcher, manager, and broadcaster best known for managing the Arizona Diamondbacks to the 2001 World Series title.
-
C.
Boros
Boros is a Hungarian-origin surname borne by various notable individuals in fields such as the arts, sports, and science.
-
D.
Boriska
"Boriska" is a psychedelic rock song by the experimental duo The Claypool Lennon Delirium, known for its surreal lyrics and eclectic, genre-blending sound.
-
E.
Guzan
Guzan is the surname of American professional soccer goalkeeper Brad Guzan, known for his career in Major League Soccer and the U.S. national team.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f779248190921c85f99f587296 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fcf8bb58ac81908e66156a805edda8 |
completed | May 7, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcf93b528c81908c0ee11908d25574 |
completed | May 7, 2026, 8:42 p.m. |
Created at: April 10, 2026, 1:01 a.m.