Triple
T17503832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waco Regional Airport |
E426259
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KACT
KACT is the ICAO airport code for Waco Regional Airport, a public airport serving Waco, Texas.
|
E1272585
|
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: KACT | Statement: [Waco Regional Airport, ICAOcode, KACT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KACT Context triple: [Waco Regional Airport, ICAOcode, KACT]
-
A.
KCAK
KCAK is the ICAO airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton regions of Ohio, USA.
-
B.
KCA
KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
-
C.
KAC
KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
-
D.
KSAC
KSAC is the ICAO airport code for Sacramento Executive Airport, a public airport serving the Sacramento, California area.
-
E.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
- 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: KACT Triple: [Waco Regional Airport, ICAOcode, KACT]
Generated description
KACT is the ICAO airport code for Waco Regional Airport, a public airport serving Waco, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KACT Target entity description: KACT is the ICAO airport code for Waco Regional Airport, a public airport serving Waco, Texas.
-
A.
KCAK
KCAK is the ICAO airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton regions of Ohio, USA.
-
B.
KCA
KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
-
C.
KAC
KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
-
D.
KSAC
KSAC is the ICAO airport code for Sacramento Executive Airport, a public airport serving the Sacramento, California area.
-
E.
KA
KA is the IATA airline designator for Cathay Dragon, a former Hong Kong-based regional carrier owned by Cathay Pacific.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45213a0e88190ac183d87ec088e86 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c20a6370819098b4876ca8ff1ebf |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c3881f6081908f13c4033933b252 |
completed | May 11, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c41859008190b786bdc2c09f24d1 |
completed | May 11, 2026, 11:57 a.m. |
Created at: April 10, 2026, 5:48 a.m.