Triple
T6610988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FA Trophy |
E149235
|
entity |
| Predicate | commonAbbreviation |
P8075
|
FINISHED |
| Object | FAT |
E149235
|
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: FAT | Statement: [FA Trophy, commonAbbreviation, FAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAT Context triple: [FA Trophy, commonAbbreviation, FAT]
-
A.
FAT
chosen
FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
-
B.
FAT
FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
-
C.
FAD
FAD is the Faculty of Arts and Design at the University of Canberra, offering creative and humanities-focused education and research programs.
-
D.
VFAT
VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
-
E.
FST
FST is the commonly used abbreviation for the UK government ministerial post of Financial Secretary to the Treasury, a key role within HM Treasury responsible for economic and financial matters.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af34d9188190a40f682f985b0bac |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43f14148190882b9b8f2f95e22c |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.