Triple
T8745669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald R. Ford International Airport |
E207819
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | KGRR |
E207819
|
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: KGRR | Statement: [Gerald R. Ford International Airport, hasICAOCode, KGRR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KGRR Context triple: [Gerald R. Ford International Airport, hasICAOCode, KGRR]
-
A.
KGRR
chosen
KGRR is the ICAO airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
-
B.
KGR
KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
-
C.
KGRK
KGRK is the ICAO airport code for Robert Gray Army Airfield, a U.S. military airfield located near Killeen, Texas.
-
D.
KG
KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
-
E.
KG
KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d745e0081909cab216593d5c01b |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf518750948190a42ad8fc352ac851 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:39 p.m.