Triple
T11441463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayetteville Regional Airport |
E271154
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object |
FAY
FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
|
E926172
|
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: FAY | Statement: [Fayetteville Regional Airport, FAAcode, FAY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAY Context triple: [Fayetteville Regional Airport, FAAcode, FAY]
-
A.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
FAE
FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
-
D.
FAE
FAE is the acronym for the Ecuadorian Air Force, the aerial warfare branch of Ecuador’s military responsible for defending the nation’s airspace.
-
E.
FALY
FALY is the ICAO airport code assigned to Ladysmith Airport in South Africa.
- 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: FAY Triple: [Fayetteville Regional Airport, FAAcode, FAY]
Generated description
FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAY Target entity description: FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
-
A.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
FAE
FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
-
D.
FAE
FAE is the acronym for the Ecuadorian Air Force, the aerial warfare branch of Ecuador’s military responsible for defending the nation’s airspace.
-
E.
FALY
FALY is the ICAO airport code assigned to Ladysmith Airport in South Africa.
- 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.