Triple
T2276884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bureau of Transportation Statistics |
E50791
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | BTS |
E50791
|
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: BTS | Statement: [Bureau of Transportation Statistics, abbreviation, BTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BTS Context triple: [Bureau of Transportation Statistics, abbreviation, BTS]
-
A.
BTS
chosen
The Bureau of Transportation Statistics (BTS) is a U.S. federal agency that compiles, analyzes, and publishes data on the nation’s transportation systems to inform policy and decision-making.
-
B.
BTS
BTS is the IATA airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
-
C.
Seventeen
Seventeen is a popular South Korean boy group known for their synchronized performances, self-produced music, and large multi-unit lineup.
-
D.
Suga
Suga is a Japanese politician who served as the Prime Minister of Japan from 2020 to 2021.
-
E.
Rema
Rema is a Nigerian singer, songwriter, and rapper known for his influential role in modern Afrobeats and hit songs like "Dumebi" and "Calm Down."
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ee22988190b7fa28b0b62e8668 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71e2a17081908539717619ad7187 |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.