Triple
T6707839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackburn railway station |
E153052
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
BBN
BBN is the National Rail station code for Blackburn railway station in Lancashire, England.
|
E614239
|
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: BBN | Statement: [Blackburn railway station, stationCode, BBN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBN Context triple: [Blackburn railway station, stationCode, BBN]
-
A.
BBN
BBN is the early-universe process that produced the lightest elements—mainly hydrogen, helium, and small amounts of lithium—within the first few minutes after the Big Bang.
-
B.
BBN Technologies
BBN Technologies is an American research and development company renowned for its pioneering work in computer networking and its key role in creating the ARPANET, the precursor to the modern internet.
-
C.
BB
BB is the vehicle registration code used on license plates for the German town and district of Böblingen in the state of Baden-Württemberg.
-
D.
BNNIC
BNNIC is the official domain name registry responsible for managing and administering the .bn country-code top-level domain for Brunei.
-
E.
BNC
BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
- 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: BBN Triple: [Blackburn railway station, stationCode, BBN]
Generated description
BBN is the National Rail station code for Blackburn railway station in Lancashire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BBN Target entity description: BBN is the National Rail station code for Blackburn railway station in Lancashire, England.
-
A.
BBN
BBN is the early-universe process that produced the lightest elements—mainly hydrogen, helium, and small amounts of lithium—within the first few minutes after the Big Bang.
-
B.
BBN Technologies
BBN Technologies is an American research and development company renowned for its pioneering work in computer networking and its key role in creating the ARPANET, the precursor to the modern internet.
-
C.
BB
BB is the vehicle registration code used on license plates for the German town and district of Böblingen in the state of Baden-Württemberg.
-
D.
BNNIC
BNNIC is the official domain name registry responsible for managing and administering the .bn country-code top-level domain for Brunei.
-
E.
BNC
BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1049b7c8190a970a165d15b440b |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7008aeac08190887a7bf5703b69f4 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c7067a932c8190a039a9ab2fd5d8a5 |
completed | March 27, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7073483a4819084392c89a84f63b1 |
completed | March 27, 2026, 10:39 p.m. |
Created at: March 27, 2026, 2:06 p.m.