Triple
T15588305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Commission on Migration |
E374678
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
FCM
FCM is the abbreviation for the Federal Commission on Migration, a Swiss advisory body that provides expertise and recommendations on migration and integration policy.
|
E1165109
|
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: FCM | Statement: [Federal Commission on Migration, shortName, FCM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FCM Context triple: [Federal Commission on Migration, shortName, FCM]
-
A.
FCM
FCM is the ICAO airline designator used to identify Nordic Regional Airlines in international aviation operations.
-
B.
FCM
FCM is the commonly used abbreviation for FC Midtjylland, a professional Danish football club based in Herning and Ikast.
-
C.
GCM
GCM (Galois/Counter Mode) is an authenticated encryption mode for block ciphers that provides both data confidentiality and integrity with high performance and parallelizability.
-
D.
GCM
GCM is the IATA airport code for Owen Roberts International Airport, the main airport serving Grand Cayman in the Cayman Islands.
-
E.
GCM
GCM is the commonly used abbreviation for Grand Central Madison, a Long Island Rail Road terminal located beneath Grand Central Terminal in New York City.
- 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: FCM Triple: [Federal Commission on Migration, shortName, FCM]
Generated description
FCM is the abbreviation for the Federal Commission on Migration, a Swiss advisory body that provides expertise and recommendations on migration and integration policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FCM Target entity description: FCM is the abbreviation for the Federal Commission on Migration, a Swiss advisory body that provides expertise and recommendations on migration and integration policy.
-
A.
FCM
FCM is the ICAO airline designator used to identify Nordic Regional Airlines in international aviation operations.
-
B.
FCM
FCM is the commonly used abbreviation for FC Midtjylland, a professional Danish football club based in Herning and Ikast.
-
C.
GCM
GCM (Galois/Counter Mode) is an authenticated encryption mode for block ciphers that provides both data confidentiality and integrity with high performance and parallelizability.
-
D.
GCM
GCM is the IATA airport code for Owen Roberts International Airport, the main airport serving Grand Cayman in the Cayman Islands.
-
E.
GCM
GCM is the commonly used abbreviation for Grand Central Madison, a Long Island Rail Road terminal located beneath Grand Central Terminal in New York City.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4a19708190936118d569f3436d |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c53617c8190b4367eee351dc025 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d5de6ec8190ab82ac78bb70a432 |
completed | May 9, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4dd868388190a159618c1fdcf15c |
completed | May 9, 2026, 3:08 p.m. |
Created at: April 10, 2026, 4:11 a.m.