Triple
T6956989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garner Field Airport |
E161268
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KUVA
KUVA is the ICAO airport code for Garner Field Airport, a public-use airfield serving Uvalde, Texas.
|
E631191
|
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: KUVA | Statement: [Garner Field Airport, ICAOcode, KUVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KUVA Context triple: [Garner Field Airport, ICAOcode, KUVA]
-
A.
KUV
KUV is the IATA airport code for Kunsan Air Base, a United States Air Force installation located in South Korea.
-
B.
KUN
KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
-
C.
Kuvi
Kuvi is a Dravidian language spoken primarily by the Kuvi tribal communities in parts of Odisha and Andhra Pradesh in India.
-
D.
KU2
KU2 is the stock ticker symbol for KUKA, a German industrial robotics and automation company.
-
E.
Ku
Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
- 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: KUVA Triple: [Garner Field Airport, ICAOcode, KUVA]
Generated description
KUVA is the ICAO airport code for Garner Field Airport, a public-use airfield serving Uvalde, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KUVA Target entity description: KUVA is the ICAO airport code for Garner Field Airport, a public-use airfield serving Uvalde, Texas.
-
A.
KUV
KUV is the IATA airport code for Kunsan Air Base, a United States Air Force installation located in South Korea.
-
B.
KUN
KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
-
C.
Kuvi
Kuvi is a Dravidian language spoken primarily by the Kuvi tribal communities in parts of Odisha and Andhra Pradesh in India.
-
D.
KU2
KU2 is the stock ticker symbol for KUKA, a German industrial robotics and automation company.
-
E.
Ku
Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dad0e52081908b524dc6a66bab01 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7588e2c5c8190a66a0205f3c2bf99 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c7598d785881909a79ec6be6546a1c |
completed | March 28, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a0b33788190a120c42f901ac56e |
completed | March 28, 2026, 4:33 a.m. |
Created at: March 27, 2026, 2:29 p.m.