Triple
T16349210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Corps Air Station Beaufort |
E397013
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
KNBC
KNBC is the ICAO airport code for Marine Corps Air Station Beaufort, a major United States Marine Corps aviation facility in South Carolina.
|
E1209102
|
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: KNBC | Statement: [Marine Corps Air Station Beaufort, ICAOCode, KNBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNBC Context triple: [Marine Corps Air Station Beaufort, ICAOCode, KNBC]
-
A.
KNBC-TV
KNBC-TV is the NBC-owned and operated television station serving the Los Angeles, California market.
-
B.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
-
C.
KXAN-TV
KXAN-TV is a television station serving the Austin, Texas market, known primarily as the local NBC affiliate.
-
D.
KTTV
KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
-
E.
KABC-TV
KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
- 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: KNBC Triple: [Marine Corps Air Station Beaufort, ICAOCode, KNBC]
Generated description
KNBC is the ICAO airport code for Marine Corps Air Station Beaufort, a major United States Marine Corps aviation facility in South Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KNBC Target entity description: KNBC is the ICAO airport code for Marine Corps Air Station Beaufort, a major United States Marine Corps aviation facility in South Carolina.
-
A.
KNBC-TV
KNBC-TV is the NBC-owned and operated television station serving the Los Angeles, California market.
-
B.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
-
C.
KXAN-TV
KXAN-TV is a television station serving the Austin, Texas market, known primarily as the local NBC affiliate.
-
D.
KTTV
KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
-
E.
KABC-TV
KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da120ec081909bbf32bd128b2e01 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db40e0481908d919f2285e48a23 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a003082f0008190aeae2fbbfc3a8acf |
completed | May 10, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:07 a.m.