Triple
T15850348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B2 League |
E384317
|
entity |
| Predicate | division |
P889
|
FINISHED |
| Object |
B2 West
B2 West is a regional subdivision within the B2 League, grouping together teams that compete against each other in that specific geographic section of the competition.
|
E1179320
|
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: B2 West | Statement: [B2 League, division, B2 West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B2 West Context triple: [B2 League, division, B2 West]
-
A.
B2
B2 is the second-generation Volkswagen Passat, produced in the early 1980s and known for its more angular design and expanded body style options compared to its predecessor.
-
B.
B3
B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
-
C.
B3
B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
-
D.
Bx2
The Bx2 is a New York City bus route that runs through the Bronx, connecting key neighborhoods and transit hubs along major corridors.
-
E.
Β
Β is the Greek capital letter beta, commonly used in mathematics, science, and as part of Greek-letter names for organizations.
- 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: B2 West Triple: [B2 League, division, B2 West]
Generated description
B2 West is a regional subdivision within the B2 League, grouping together teams that compete against each other in that specific geographic section of the competition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B2 West Target entity description: B2 West is a regional subdivision within the B2 League, grouping together teams that compete against each other in that specific geographic section of the competition.
-
A.
B2
B2 is the second-generation Volkswagen Passat, produced in the early 1980s and known for its more angular design and expanded body style options compared to its predecessor.
-
B.
B3
B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
-
C.
B3
B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
-
D.
Bx2
The Bx2 is a New York City bus route that runs through the Bronx, connecting key neighborhoods and transit hubs along major corridors.
-
E.
Β
Β is the Greek capital letter beta, commonly used in mathematics, science, and as part of Greek-letter names for organizations.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cab0fe48190bd6629e071761e91 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa147bce481909fb6f6ef2793a5a8 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa41a86ec8190b46d541965ecf26e |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa496f3e48190b8dc82bece548aec |
completed | May 9, 2026, 9:18 p.m. |
Created at: April 10, 2026, 4:50 a.m.