Triple
T4126127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDill Air Force Base |
E92728
|
entity |
| Predicate | hasICAOAirportCode |
P419
|
FINISHED |
| Object |
KMCF
KMCF is the ICAO airport code for the military airfield serving MacDill Air Force Base in Tampa, Florida.
|
E414950
|
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: KMCF | Statement: [MacDill Air Force Base, hasICAOAirportCode, KMCF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMCF Context triple: [MacDill Air Force Base, hasICAOAirportCode, KMCF]
-
A.
KMCO
KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
-
B.
KMC
KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
-
C.
KMAC
KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
-
D.
KSMF
KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
-
E.
KMCI
KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
- 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: KMCF Triple: [MacDill Air Force Base, hasICAOAirportCode, KMCF]
Generated description
KMCF is the ICAO airport code for the military airfield serving MacDill Air Force Base in Tampa, Florida.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KMCF Target entity description: KMCF is the ICAO airport code for the military airfield serving MacDill Air Force Base in Tampa, Florida.
-
A.
KMCO
KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
-
B.
KMC
KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
-
C.
KMAC
KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
-
D.
KSMF
KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
-
E.
KMCI
KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0219f0e48190b0a925f09d858d65 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b96e588190bdf346a66a95138a |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577d391ac8190b6062b1f64e2e7e8 |
completed | March 14, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5787ed214819092fc425152069df9 |
completed | March 14, 2026, 3:02 p.m. |
Created at: March 9, 2026, 3:41 p.m.