Triple
T19640292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Junction Regional Airport |
E471511
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | GJT |
—
|
NE NERFINISHED |
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: GJT | Statement: [Grand Junction Regional Airport, IATA code, GJT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GJT Context triple: [Grand Junction Regional Airport, IATA code, GJT]
-
A.
GJT
chosen
GJT is the IATA airport code for Grand Junction Regional Airport, a commercial airport serving Grand Junction and western Colorado.
-
B.
GJ
GJ is the vehicle registration code assigned to Gorj County in southwestern Romania.
-
C.
GJ
GJ is the Indian state code for Gujarat, a western state known for its major cities like Ahmedabad and its significant cultural and economic influence.
-
D.
GJ
GJ is the vehicle registration code used on license plates for vehicles registered in Gjirokastër County, Albania.
-
E.
JG
JG is a 2013 experimental 35mm film by British artist Tacita Dean that meditates on time, landscape, and fiction through a visual dialogue with J.G. Ballard’s short story “The Voices of Time.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641215df48190926b38e6502bb83e |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.