Triple
T9834836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Migration Agency |
E239073
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SMA
SMA is the commonly used abbreviation for the Swedish Migration Agency, the government authority responsible for handling immigration and asylum matters in Sweden.
|
E825267
|
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: SMA | Statement: [Swedish Migration Agency, shortName, SMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMA Context triple: [Swedish Migration Agency, shortName, SMA]
-
A.
SMA
SMA is the IATA airport code for the main airport serving Santa Maria Island in the Azores, Portugal.
-
B.
SMA
SMA is a region of the frontal lobe involved in planning and coordinating complex voluntary movements, especially those requiring sequences or both sides of the body.
-
C.
SMA
SMA is a radio interferometer observatory located on Maunakea in Hawaii that operates at submillimeter wavelengths to study astronomical objects such as star-forming regions, galaxies, and black holes.
-
D.
SMND
SMND is the station code for the central Paris RER railway station Saint-Michel–Notre-Dame, a major hub near Notre-Dame Cathedral.
-
E.
Sma
Sma is a classic rabbinic commentator best known for his influential glosses on the Choshen Mishpat section of the Shulchan Aruch, widely studied in Jewish law.
- 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: SMA Triple: [Swedish Migration Agency, shortName, SMA]
Generated description
SMA is the commonly used abbreviation for the Swedish Migration Agency, the government authority responsible for handling immigration and asylum matters in Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMA Target entity description: SMA is the commonly used abbreviation for the Swedish Migration Agency, the government authority responsible for handling immigration and asylum matters in Sweden.
-
A.
SMA
SMA is the IATA airport code for the main airport serving Santa Maria Island in the Azores, Portugal.
-
B.
SMA
SMA is a radio interferometer observatory located on Maunakea in Hawaii that operates at submillimeter wavelengths to study astronomical objects such as star-forming regions, galaxies, and black holes.
-
C.
SMA
SMA is a region of the frontal lobe involved in planning and coordinating complex voluntary movements, especially those requiring sequences or both sides of the body.
-
D.
SMND
SMND is the station code for the central Paris RER railway station Saint-Michel–Notre-Dame, a major hub near Notre-Dame Cathedral.
-
E.
Sma
Sma is a classic rabbinic commentator best known for his influential glosses on the Choshen Mishpat section of the Shulchan Aruch, widely studied in Jewish law.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb339aa1c8190901d8e660cef49c5 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5c8f1a48190a4e7b6cda8ee88d5 |
completed | April 5, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69d1d6a385ac8190b5dd11adfbb7578d |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d74e7a148190a9470745bfd7ad42 |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:32 p.m.