Triple
T8935835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McComb-Pike County Airport |
E212772
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
KMCB
KMCB is the ICAO airport code for McComb-Pike County Airport, a public airport serving McComb in Pike County, Mississippi.
|
E767047
|
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: KMCB | Statement: [McComb-Pike County Airport, ICAO code, KMCB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMCB Context triple: [McComb-Pike County Airport, ICAO code, KMCB]
-
A.
KMC
KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
-
B.
KMC
KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
-
C.
KMCN
KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
-
D.
KMCO
KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
-
E.
KMAC
KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, 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: KMCB Triple: [McComb-Pike County Airport, ICAO code, KMCB]
Generated description
KMCB is the ICAO airport code for McComb-Pike County Airport, a public airport serving McComb in Pike County, Mississippi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KMCB Target entity description: KMCB is the ICAO airport code for McComb-Pike County Airport, a public airport serving McComb in Pike County, Mississippi.
-
A.
KMC
KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
-
B.
KMC
KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
-
C.
KMCN
KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
-
D.
KMCO
KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
-
E.
KMAC
KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66928cec8190915636d663f843af |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1e241a08190bc935c4f0dde9d2f |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc2945a288190b780bae59c737702 |
completed | April 3, 2026, 1:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc3087cac81908e1c178dd4606ade |
completed | April 3, 2026, 1:39 p.m. |
Created at: March 30, 2026, 6:58 p.m.