Triple
T14308412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyne City Municipal Airport |
E354756
|
entity |
| Predicate | faaCode |
P420
|
FINISHED |
| Object |
N98
N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
|
E1092896
|
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: N98 | Statement: [Boyne City Municipal Airport, faaCode, N98]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N98 Context triple: [Boyne City Municipal Airport, faaCode, N98]
-
A.
N98
N98 is the ICAO airport code assigned to Boyne City Municipal Airport, a public general aviation facility serving Boyne City, Michigan.
-
B.
N9
N9 is a national route in South Africa that connects several inland towns and links with major highways such as the N2.
-
C.
N9
N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
-
D.
N90
N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
-
E.
N90
N90 is the Federal Aviation Administration’s New York Terminal Radar Approach Control facility responsible for managing approach and departure air traffic in the busy New York metropolitan airspace.
- 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: N98 Triple: [Boyne City Municipal Airport, faaCode, N98]
Generated description
N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N98 Target entity description: N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
-
A.
N98
N98 is the ICAO airport code assigned to Boyne City Municipal Airport, a public general aviation facility serving Boyne City, Michigan.
-
B.
N9
N9 is a national route in South Africa that connects several inland towns and links with major highways such as the N2.
-
C.
N9
N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
-
D.
N90
N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
-
E.
N90
N90 is the Federal Aviation Administration’s New York Terminal Radar Approach Control facility responsible for managing approach and departure air traffic in the busy New York metropolitan airspace.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4684e2648190b46328252ac9d51b |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47479a0c8190a056cb00c62bfa52 |
completed | May 8, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4828f44c81908903d1391c83cc60 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:12 a.m.