Triple
T2176568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Defence Materiel Administration |
E48541
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
FMV
FMV is the Swedish Defence Materiel Administration, the government agency responsible for procuring and managing equipment and systems for Sweden’s armed forces.
|
E242926
|
NE FINISHED |
How this triple was built (4 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, abbreviation, FMV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMV Context triple: [Swedish Defence Materiel Administration, abbreviation, FMV]
-
A.
FMF
FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
-
B.
FFM
FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
-
C.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
D.
SFM
SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
-
E.
FML
FML is a moody, introspective Kanye West song from *The Life of Pablo* that explores emotional turmoil, relationships, and mental health over dark, atmospheric production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FMV Triple: [Swedish Defence Materiel Administration, abbreviation, FMV]
Generated description
FMV is the Swedish Defence Materiel Administration, the government agency responsible for procuring and managing equipment and systems for Sweden’s armed forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FMV Target entity description: FMV is the Swedish Defence Materiel Administration, the government agency responsible for procuring and managing equipment and systems for Sweden’s armed forces.
-
A.
FMF
FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
-
B.
FFM
FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
-
C.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
D.
SFM
SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
-
E.
FML
FML is a moody, introspective Kanye West song from *The Life of Pablo* that explores emotional turmoil, relationships, and mental health over dark, atmospheric production.
- F. None of above. chosen
Provenance (5 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_69ae5da14e3881909f0beda339599938 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e5f023081909cd046b5850f8026 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ef99018819083a778378ea493e8 |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:45 p.m.