Triple
T5291259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Football Federation |
E119745
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | NFF |
E508966
|
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: NFF | Statement: [Norwegian Football Federation, hasAbbreviation, NFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFF Context triple: [Norwegian Football Federation, hasAbbreviation, NFF]
-
A.
NFF
NFF is the abbreviation for the Netherlands Film Festival, an annual event celebrating Dutch cinema and filmmakers.
-
B.
NFF
NFF is the commonly used abbreviation for the Nigeria Football Federation, the governing body of football in Nigeria.
-
C.
NFF
chosen
NFF is the commonly used abbreviation for the Norwegian Football Federation, the governing body for football in Norway.
-
D.
FFA
FFA is the commonly used abbreviation for the Fédération Française d’Athlétisme, the governing body for athletics in France.
-
E.
FFA
FFA is a regional fisheries management organization that supports Pacific Island countries in sustainably managing and conserving their tuna and other marine resources.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84eccac481908ba3fe28c3908d1d |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10dfc2948190b65f5e4c9388a5cb |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:52 p.m.