Triple
T17011458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norra |
E412709
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | FCM |
E645853
|
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: FCM | Statement: [Norra, ICAOCode, FCM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FCM Context triple: [Norra, ICAOCode, FCM]
-
A.
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.
-
B.
FCM
chosen
FCM is the ICAO airline designator used to identify Nordic Regional Airlines in international aviation operations.
-
C.
FCM
FCM is the commonly used abbreviation for FC Midtjylland, a professional Danish football club based in Herning and Ikast.
-
D.
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.
-
E.
GCM
GCM is the IATA airport code for Owen Roberts International Airport, the main airport serving Grand Cayman in the Cayman Islands.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47bcb508190a799f0bad6b70245 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b46e89c81908271eb22b535c558 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:33 a.m.