Triple
T11441462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayetteville Regional Airport |
E271154
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KFAY
KFAY is the ICAO airport code for Fayetteville Regional Airport in Fayetteville, North Carolina, which serves as a public airport for commercial and general aviation.
|
E926171
|
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: KFAY | Statement: [Fayetteville Regional Airport, ICAOcode, KFAY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFAY Context triple: [Fayetteville Regional Airport, ICAOcode, KFAY]
-
A.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
B.
CFAY
CFAY is the U.S. Navy’s Fleet Activities Yokosuka, a major naval installation in Japan that serves as the home port for the U.S. Seventh Fleet.
-
C.
KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
-
D.
FK
FK is the common abbreviation for the Swedish Social Insurance Agency, the government body responsible for administering social security benefits in Sweden.
-
E.
FK
FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
- 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: KFAY Triple: [Fayetteville Regional Airport, ICAOcode, KFAY]
Generated description
KFAY is the ICAO airport code for Fayetteville Regional Airport in Fayetteville, North Carolina, which serves as a public airport for commercial and general aviation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KFAY Target entity description: KFAY is the ICAO airport code for Fayetteville Regional Airport in Fayetteville, North Carolina, which serves as a public airport for commercial and general aviation.
-
A.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
B.
CFAY
CFAY is the U.S. Navy’s Fleet Activities Yokosuka, a major naval installation in Japan that serves as the home port for the U.S. Seventh Fleet.
-
C.
KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
-
D.
FK
FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
-
E.
FK
FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d808891b7481908bf5a80cb7644061 |
completed | April 9, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3a2a68481909704ef9a7f780afc |
completed | April 20, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69e5d6a10c0c8190a96a4fc4ef330e8b |
completed | April 20, 2026, 7:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d7fd235081909870476cbc9817b2 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:35 p.m.