Triple
T4341914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EGAA |
E97801
|
entity |
| Predicate | associatedWithIATA |
P12360
|
FINISHED |
| Object | BFS |
E97800
|
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: BFS | Statement: [EGAA, associatedWithIATA, BFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BFS Context triple: [EGAA, associatedWithIATA, BFS]
-
A.
BFS
chosen
BFS is the three-letter IATA airport code assigned to Belfast International Airport in Northern Ireland.
-
B.
DFS
DFS is the commonly used abbreviation for the New York State Department of Financial Services, the state agency that regulates financial services and products in New York.
-
C.
DFS
DFS is the stock ticker symbol for Discover Financial Services, a major U.S. financial services company best known for its Discover credit card network and related banking products.
-
D.
EBFS
EBFS is the ICAO airport code for Florennes Air Base, a military airfield in Belgium.
-
E.
Dijkstra
Dijkstra is a renowned Dutch computer scientist best known for his pioneering work in algorithms, including Dijkstra's shortest path algorithm, and for his influential contributions to programming methodology and software engineering.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dba2b49c81909b7bf87672d71611 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:14 p.m.