Triple
T1867850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald R. Ford International Airport |
E34963
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KGRR
KGRR is the ICAO airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
|
E207819
|
NE FINISHED |
How this triple was built (4 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, ICAOcode, KGRR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KGRR Context triple: [Gerald R. Ford International Airport, ICAOcode, KGRR]
-
A.
KGR
KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
-
B.
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.
-
C.
KG
KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
-
D.
KGH
KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
-
E.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KGRR Triple: [Gerald R. Ford International Airport, ICAOcode, KGRR]
Generated description
KGRR is the ICAO airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KGRR Target entity description: KGRR is the ICAO airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
-
A.
KGR
KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
-
B.
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.
-
C.
KG
KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
-
D.
KGH
KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
-
E.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
- F. None of above. chosen
Provenance (5 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0b6ac108190921c197abc5ab5b5 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d8dd8881909189029a047bc2b4 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add28b804c8190a625e5d1405c59be |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add35731588190a13c969490ca2c09 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:34 p.m.