Triple
T12675267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Airport |
E302792
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KIMT
KIMT is the ICAO airport code for Ford Airport, a public airport serving Iron Mountain, Michigan, in the United States.
|
E997527
|
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: KIMT | Statement: [Ford Airport, ICAOcode, KIMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KIMT Context triple: [Ford Airport, ICAOcode, KIMT]
-
A.
KTIW
KTIW is the ICAO airport code for Tacoma Narrows Airport, a public general aviation airport serving the Tacoma, Washington area.
-
B.
KVTI
KVTI is the ICAO airport code for Vinton Veterans Memorial Airport, a public-use airfield serving Vinton, Iowa, in the United States.
-
C.
KDSM
KDSM is the ICAO airport code for Des Moines International Airport in Des Moines, Iowa, a key commercial aviation hub for the region.
-
D.
KMCI
KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
-
E.
KING-TV
KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
- 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: KIMT Triple: [Ford Airport, ICAOcode, KIMT]
Generated description
KIMT is the ICAO airport code for Ford Airport, a public airport serving Iron Mountain, Michigan, in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KIMT Target entity description: KIMT is the ICAO airport code for Ford Airport, a public airport serving Iron Mountain, Michigan, in the United States.
-
A.
KTIW
KTIW is the ICAO airport code for Tacoma Narrows Airport, a public general aviation airport serving the Tacoma, Washington area.
-
B.
KVTI
KVTI is the ICAO airport code for Vinton Veterans Memorial Airport, a public-use airfield serving Vinton, Iowa, in the United States.
-
C.
KDSM
KDSM is the ICAO airport code for Des Moines International Airport in Des Moines, Iowa, a key commercial aviation hub for the region.
-
D.
KMCI
KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
-
E.
KING-TV
KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a163188190b6077c77f9a81681 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672d16f8881908c6d5cfed0b3ec3a |
completed | May 2, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67396fdac8190970068b2c39ad2f7 |
completed | May 2, 2026, 9:58 p.m. |
Created at: April 9, 2026, 5:20 p.m.