Triple
T7854766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton International Airport |
E182145
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KDAY
KDAY is the ICAO airport code for Dayton International Airport in Dayton, Ohio, United States.
|
E700083
|
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: KDAY | Statement: [Dayton International Airport, ICAOcode, KDAY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KDAY Context triple: [Dayton International Airport, ICAOcode, KDAY]
-
A.
K-Days
K-Days is a major annual summer fair and exhibition held in Edmonton, Alberta, featuring midway rides, concerts, games, and cultural attractions.
-
B.
KMDA
KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
-
C.
KDAL
KDAL is the ICAO airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
D.
KGYR
KGYR is the ICAO airport code for Phoenix Goodyear Airport, a public airport serving the Goodyear area near Phoenix, Arizona.
-
E.
KRMN
KRMN is the ICAO airport code for Stafford Regional Airport, a public-use airport serving the Stafford, Virginia area in the United States.
- 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: KDAY Triple: [Dayton International Airport, ICAOcode, KDAY]
Generated description
KDAY is the ICAO airport code for Dayton International Airport in Dayton, Ohio, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KDAY Target entity description: KDAY is the ICAO airport code for Dayton International Airport in Dayton, Ohio, United States.
-
A.
K-Days
K-Days is a major annual summer fair and exhibition held in Edmonton, Alberta, featuring midway rides, concerts, games, and cultural attractions.
-
B.
KMDA
KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
-
C.
KDAL
KDAL is the ICAO airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
D.
KGYR
KGYR is the ICAO airport code for Phoenix Goodyear Airport, a public airport serving the Goodyear area near Phoenix, Arizona.
-
E.
KRMN
KRMN is the ICAO airport code for Stafford Regional Airport, a public-use airport serving the Stafford, Virginia area in the United States.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a72cfdc8190a3186c4c2894f571 |
completed | March 31, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b27e9b081909a0574458ddf43b0 |
completed | March 31, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69cb762eab0881909c5035b3086dfdd9 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb801cc0c8190864d28e199eb5e67 |
completed | March 31, 2026, 12:03 p.m. |
Created at: March 30, 2026, 4:51 p.m.