Triple
T11648238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bata Airport |
E276832
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | BSG |
E276832
|
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: BSG | Statement: [Bata Airport, IATA code, BSG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BSG Context triple: [Bata Airport, IATA code, BSG]
-
A.
BSG
chosen
BSG is the IATA airport code for Bata Airport, serving the city of Bata in Equatorial Guinea.
-
B.
BSG
BSG is the abbreviation for Germany’s Federal Social Court, the highest court for social law matters in the country.
-
C.
SSBG
SSBG is a federal funding program in the United States that provides flexible grants to states to support a wide range of social services for vulnerable populations.
-
D.
BSA
BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
-
E.
BSA
BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87f903c48190b9055ad4cfebb1e1 |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.