Triple
T16961008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICAO airport code system |
E411425
|
entity |
| Predicate | regionPrefixExample |
P34409
|
FINISHED |
| Object | K for contiguous United States |
—
|
LITERAL FINISHED |
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: K for contiguous United States | Statement: [ICAO airport code system, regionPrefixExample, K for contiguous United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionPrefixExample Context triple: [ICAO airport code system, regionPrefixExample, K for contiguous United States]
-
A.
addressExamplePrefix
Indicates that an address example is introduced or categorized by a specific prefix string used to distinguish or group it.
-
B.
addressPrefix
Indicates that one address string serves as the starting portion or leading segment of another address.
-
C.
registrationPrefix
Indicates that an entity has a specific registration prefix code assigned to it as part of its official registration or identification.
-
D.
namespacePrefix
Indicates the abbreviated prefix string associated with a particular namespace URI in a naming or identifier system.
-
E.
icaoRegionPrefix
chosen
Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
- F. None of above.
Provenance (3 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0209a9081909d9c62456bc16e14 |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9cddf88190bc42709604047353 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.