Triple
T9532737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOPS-10 |
E229934
|
entity |
| Predicate | notableInstallation |
P80818
|
FINISHED |
| Object | BBN |
E96778
|
NE FINISHED |
How this triple was built (2 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: [TOPS-10, notableInstallation, BBN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBN Context triple: [TOPS-10, notableInstallation, BBN]
-
A.
BBN
BBN is the National Rail station code for Blackburn railway station in Lancashire, England.
-
B.
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.
-
C.
BBN Technologies
chosen
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.
-
D.
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.
-
E.
BB
BB is the stock ticker symbol for BlackBerry Limited, a Canadian company known for its evolution from pioneering smartphones to focusing on cybersecurity and enterprise software solutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b5651881908241b040f123c6a8 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4033c08190a71535b63d86f4df |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8 p.m.