Triple
T21728766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watertown International Airport |
E536342
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KART
KART is the ICAO airport code for Watertown International Airport, a public airport serving the Watertown area in Jefferson County, New York.
|
E1499177
|
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: KART | Statement: [Watertown International Airport, ICAOcode, KART]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KART Context triple: [Watertown International Airport, ICAOcode, KART]
-
A.
Kart
Kart refers to a member or native of the Kart dynasty of Herat, a medieval ruling family in the region of present-day western Afghanistan.
-
B.
Karting Academy
Karting Academy is a go-kart racing attraction at Ferrari World Abu Dhabi where visitors can experience high-speed karting on a professionally designed track.
-
C.
Go-Kart Records
Go-Kart Records is an independent punk rock record label known for releasing albums by bands such as 88 Fingers Louie.
-
D.
Peach's Kart
Peach's Kart is Princess Peach's signature pink racing vehicle featured in the Mario Kart video game series.
-
E.
Tilt-a-Kart
Tilt-a-Kart is a battle arena in Mario Kart: Double Dash!! featuring a tilting platform that affects racers’ movement and item strategy.
- 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: KART Triple: [Watertown International Airport, ICAOcode, KART]
Generated description
KART is the ICAO airport code for Watertown International Airport, a public airport serving the Watertown area in Jefferson County, New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KART Target entity description: KART is the ICAO airport code for Watertown International Airport, a public airport serving the Watertown area in Jefferson County, New York.
-
A.
Kart
Kart refers to a member or native of the Kart dynasty of Herat, a medieval ruling family in the region of present-day western Afghanistan.
-
B.
Karting Academy
Karting Academy is a go-kart racing attraction at Ferrari World Abu Dhabi where visitors can experience high-speed karting on a professionally designed track.
-
C.
Go-Kart Records
Go-Kart Records is an independent punk rock record label known for releasing albums by bands such as 88 Fingers Louie.
-
D.
Peach's Kart
Peach's Kart is Princess Peach's signature pink racing vehicle featured in the Mario Kart video game series.
-
E.
Tilt-a-Kart
Tilt-a-Kart is a battle arena in Mario Kart: Double Dash!! featuring a tilting platform that affects racers’ movement and item strategy.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd04c9648190922e8fa7c74ac1b5 |
completed | April 28, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2ecc31948190848c6e01ea121deb |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a2fd17bd48190a6ba7a80b244cdd7 |
completed | May 17, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3047eb04819082e2b9f4e62b4b0b |
completed | May 17, 2026, 9:16 p.m. |
Created at: April 16, 2026, 6:48 p.m.