Triple
T5807230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery County Airpark |
E128775
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
KGAI
KGAI is the ICAO airport code for Montgomery County Airpark, a public general aviation airport serving Montgomery County, Maryland.
|
E548663
|
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: KGAI | Statement: [Montgomery County Airpark, ICAO code, KGAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KGAI Context triple: [Montgomery County Airpark, ICAO code, KGAI]
-
A.
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.
-
B.
KG
KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
-
C.
KGSP
KGSP is the ICAO airport code for Greenville–Spartanburg International Airport, a major commercial airport serving the Upstate region of South Carolina, USA.
-
D.
KAG
KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
-
E.
KMGM
KMGM is the ICAO airport code for Montgomery Regional Airport, a public airport serving Montgomery, Alabama.
- 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: KGAI Triple: [Montgomery County Airpark, ICAO code, KGAI]
Generated description
KGAI is the ICAO airport code for Montgomery County Airpark, a public general aviation airport serving Montgomery County, Maryland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KGAI Target entity description: KGAI is the ICAO airport code for Montgomery County Airpark, a public general aviation airport serving Montgomery County, Maryland.
-
A.
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.
-
B.
KG
KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
-
C.
KGSP
KGSP is the ICAO airport code for Greenville–Spartanburg International Airport, a major commercial airport serving the Upstate region of South Carolina, USA.
-
D.
KAG
KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
-
E.
KMGM
KMGM is the ICAO airport code for Montgomery Regional Airport, a public airport serving Montgomery, Alabama.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0983a0b648190ba2c76434d3b1b58 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c099c8c9448190a3847ac984123d7a |
completed | March 23, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09a458c488190b9e2716fc47cf601 |
completed | March 23, 2026, 1:41 a.m. |
Created at: March 22, 2026, 3:52 p.m.