Triple
T14947446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinston Regional Jetport |
E372701
|
entity |
| Predicate | icaoCode |
P419
|
FINISHED |
| Object |
KISO
KISO is the ICAO airport code for Kinston Regional Jetport, a public airport serving Kinston, North Carolina.
|
E1128217
|
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: KISO | Statement: [Kinston Regional Jetport, icaoCode, KISO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KISO Context triple: [Kinston Regional Jetport, icaoCode, KISO]
-
A.
Kiso
Kiso is a town in Nagano Prefecture, Japan, known for its scenic Kiso Valley, traditional post towns on the old Nakasendō route, and proximity to Mount Ontake.
-
B.
KISA
KISA is the Korea Internet & Security Agency, a government-affiliated organization that manages South Korea’s internet infrastructure and cybersecurity, including administration of the .kr country-code top-level domain.
-
C.
KIS
KIS is the IATA airport code for Kisumu International Airport, a key air transport hub serving the city of Kisumu in western Kenya.
-
D.
kiso1238
kiso1238 is the Glottolog code for Kisolongo, a Bantu language variety documented in linguistic classification databases.
-
E.
Kiesen
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
- 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: KISO Triple: [Kinston Regional Jetport, icaoCode, KISO]
Generated description
KISO is the ICAO airport code for Kinston Regional Jetport, a public airport serving Kinston, North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KISO Target entity description: KISO is the ICAO airport code for Kinston Regional Jetport, a public airport serving Kinston, North Carolina.
-
A.
Kiso
Kiso is a town in Nagano Prefecture, Japan, known for its scenic Kiso Valley, traditional post towns on the old Nakasendō route, and proximity to Mount Ontake.
-
B.
KISA
KISA is the Korea Internet & Security Agency, a government-affiliated organization that manages South Korea’s internet infrastructure and cybersecurity, including administration of the .kr country-code top-level domain.
-
C.
KIS
KIS is the IATA airport code for Kisumu International Airport, a key air transport hub serving the city of Kisumu in western Kenya.
-
D.
kiso1238
kiso1238 is the Glottolog code for Kisolongo, a Bantu language variety documented in linguistic classification databases.
-
E.
Kiesen
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e963c548190b3a06ffbbb3298b2 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe807eaa208190a478f0d0599ef695 |
completed | May 9, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe811c14448190b85d94244adcd662 |
completed | May 9, 2026, 12:34 a.m. |
Created at: April 10, 2026, 2:39 a.m.