Triple
T2176601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Defence Materiel Administration |
E48541
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | FMV |
E242926
|
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: FMV | Statement: [Swedish Defence Materiel Administration, shortName, FMV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMV Context triple: [Swedish Defence Materiel Administration, shortName, FMV]
-
A.
FMV
chosen
FMV is the Swedish Defence Materiel Administration, the government agency responsible for procuring and managing equipment and systems for Sweden’s armed forces.
-
B.
FMF
FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
-
C.
FFM
FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
-
D.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
E.
SFM
SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbeecdbc881909982a58568f0b1ed |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae653b6ae48190ab5c7e6bf2dcfa6f |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:45 p.m.