Triple
T7495756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaylord Regional Airport |
E177122
|
entity |
| Predicate | icaoCode |
P419
|
FINISHED |
| Object |
KGLR
KGLR is the ICAO airport code for Gaylord Regional Airport, a public airport serving the Gaylord area in Michigan, United States.
|
E668546
|
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: KGLR | Statement: [Gaylord Regional Airport, icaoCode, KGLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KGLR Context triple: [Gaylord Regional Airport, icaoCode, KGLR]
-
A.
KGL
KGL is the IATA airport code for Kigali International Airport, the main air gateway to Rwanda’s capital city.
-
B.
KLGC
KLGC is the ICAO airport code for LaGrange–Callaway Airport, a public-use airport serving LaGrange, Georgia, in the United States.
-
C.
LGKR
LGKR is the ICAO airport code for Corfu International Airport, which serves the Greek island of Corfu.
-
D.
RGL
RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
-
E.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
- 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: KGLR Triple: [Gaylord Regional Airport, icaoCode, KGLR]
Generated description
KGLR is the ICAO airport code for Gaylord Regional Airport, a public airport serving the Gaylord area in Michigan, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KGLR Target entity description: KGLR is the ICAO airport code for Gaylord Regional Airport, a public airport serving the Gaylord area in Michigan, United States.
-
A.
KGL
KGL is the IATA airport code for Kigali International Airport, the main air gateway to Rwanda’s capital city.
-
B.
KLGC
KLGC is the ICAO airport code for LaGrange–Callaway Airport, a public-use airport serving LaGrange, Georgia, in the United States.
-
C.
LGKR
LGKR is the ICAO airport code for Corfu International Airport, which serves the Greek island of Corfu.
-
D.
RGL
RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
-
E.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57c86948190aa8ee765bd497850 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8686cc8190bb1f7b09cdbebcf7 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e31d54c8190aed9279181f1db2b |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83ef9ce408190907a62c9d0a6dc16 |
completed | March 28, 2026, 8:50 p.m. |
Created at: March 27, 2026, 3:43 p.m.