Triple
T19786354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McKinney National Airport |
E475278
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | TKI |
—
|
NE NERFINISHED |
How this triple was built (2 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: TKI | Statement: [McKinney National Airport, FAAcode, TKI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TKI Context triple: [McKinney National Airport, FAAcode, TKI]
-
A.
TKI
chosen
TKI is the three-letter IATA airport code for McKinney National Airport in McKinney, Texas.
-
B.
KTKI
KTKI is the ICAO airport code for McKinney National Airport, a public airport serving McKinney, Texas, in the United States.
-
C.
TCK
TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
-
D.
TCK
TCK is a suite of tests, tools, and documentation used to verify that a technology implementation complies with a specific Java or Jakarta EE specification.
-
E.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65387d3348190a31f9c2f9bc1c6d9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.