Triple
T1670222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresno Yosemite International Airport |
E36106
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | FAT |
E188350
|
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: [Fresno Yosemite International Airport, FAAcode, FAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAT Context triple: [Fresno Yosemite International Airport, FAAcode, FAT]
-
A.
FAT
FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
-
B.
FAT
chosen
FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
-
C.
VFAT
VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
-
D.
Fatty
Fatty is a central child detective character in Enid Blyton’s “Mystery Series,” known for his sharp intelligence, leadership, and talent for solving complex mysteries.
-
E.
FAT16
FAT16 is an older 16-bit File Allocation Table file system widely used on early DOS and Windows systems, known for its simplicity and limitations in maximum partition and file sizes.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa624285bc8190a763e99e548a3294 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71b0cde08190a210cf387459e9ad |
completed | March 8, 2026, 12:55 p.m. |
Created at: March 4, 2026, 7:29 p.m.