Triple
T15238926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faith Municipal Airport |
E364201
|
entity |
| Predicate | icaoRegionCode |
P34409
|
FINISHED |
| Object | K (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 (contiguous United States) | Statement: [Faith Municipal Airport, icaoRegionCode, K (contiguous United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: icaoRegionCode Context triple: [Faith Municipal Airport, icaoRegionCode, K (contiguous United States)]
-
A.
icaoRegionPrefix
chosen
Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
-
B.
postalRegionOf
Indicates that a given area or zone serves as the designated postal region for another location or address.
-
C.
ISO3166-2RegionCode
Indicates the standardized ISO 3166-2 code that specifies the particular primary administrative subdivision (such as a state, province, or region) to which an entity belongs.
-
D.
regionCodeType
Indicates the classification or format type used for a given region code within a coding or identification system.
-
E.
UICCountryCode
Indicates that an entity is associated with a specific country identified by its UIC (International Union of Railways) country code.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007da7e988190925a9b67b8070bc7 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.