Triple
T6169420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffith Airport |
E137652
|
entity |
| Predicate | pushpinLabel |
P9248
|
FINISHED |
| Object | GFF |
E573123
|
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: GFF | Statement: [Griffith Airport, pushpinLabel, GFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GFF Context triple: [Griffith Airport, pushpinLabel, GFF]
-
A.
GFF
GFF is the commonly used abbreviation for the Georgian Football Federation, the governing body of football in Georgia.
-
B.
GFF
chosen
GFF is the IATA airport code for Griffith Airport, a regional airport serving Griffith in New South Wales, Australia.
-
C.
EGFF
EGFF is the ICAO airport code for Cardiff Airport, the main international airport serving Cardiff and South Wales.
-
D.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
-
E.
FGGA
FGGA is the abbreviated name for the Faculty of Earth Sciences, Geography and Astronomy, an academic unit focused on studying the Earth, its environments, and the universe.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d8de56481909583104c70a52616 |
completed | March 22, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ee938748190ad03e19c241b0881 |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:18 p.m.