Triple
T18736374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepherd Field Air National Guard Base |
E458173
|
entity |
| Predicate | hasFAAIdentifier |
P420
|
FINISHED |
| Object | MRB |
—
|
NE NERFINISHED |
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: MRB | Statement: [Shepherd Field Air National Guard Base, hasFAAIdentifier, MRB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRB Context triple: [Shepherd Field Air National Guard Base, hasFAAIdentifier, MRB]
-
A.
MRB
chosen
MRB is the three-letter IATA airport code for Eastern West Virginia Regional Airport in the United States.
-
B.
M.B.
M.B. is a set of Canadian post-nominal letters signifying that the holder has been awarded the Medal of Bravery for acts of courage.
-
C.
M&R
M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
-
D.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
E.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57689fa508190ad821d361cba9edf |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.