Triple
T9614020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedford North Lawrence High School |
E232172
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
BNL
BNL is a public high school in Bedford, Indiana, known for its academic programs and competitive athletics, particularly in basketball.
|
E811067
|
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: BNL | Statement: [Bedford North Lawrence High School, abbreviation, BNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BNL Context triple: [Bedford North Lawrence High School, abbreviation, BNL]
-
A.
BNX
BNX is the IATA airport code for Banja Luka International Airport in Bosnia and Herzegovina.
-
B.
BNP
BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
-
C.
BNP
BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
-
D.
BNS
BNS is the stock ticker symbol for the Bank of Nova Scotia, one of Canada’s largest multinational banks.
-
E.
BNS
BNS is the main national multipurpose sports stadium in Dhaka, Bangladesh, historically used for major football and cricket events.
- 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: BNL Triple: [Bedford North Lawrence High School, abbreviation, BNL]
Generated description
BNL is a public high school in Bedford, Indiana, known for its academic programs and competitive athletics, particularly in basketball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BNL Target entity description: BNL is a public high school in Bedford, Indiana, known for its academic programs and competitive athletics, particularly in basketball.
-
A.
BNX
BNX is the IATA airport code for Banja Luka International Airport in Bosnia and Herzegovina.
-
B.
BNP
BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
-
C.
BNP
BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
-
D.
BNS
BNS is the stock ticker symbol for the Bank of Nova Scotia, one of Canada’s largest multinational banks.
-
E.
BNS
BNS is the main national multipurpose sports stadium in Dhaka, Bangladesh, historically used for major football and cricket events.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17958287081908e337bdbe9ea366f |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17d9d69908190879b160968e41745 |
completed | April 4, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17e4c9e40819081367d2365bf5dd2 |
completed | April 4, 2026, 9:10 p.m. |
Created at: March 30, 2026, 8:09 p.m.