Triple
T7571593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNPA |
E179252
|
entity |
| Predicate | hasFAAIdentifier |
P420
|
FINISHED |
| Object |
NPA
NPA is the FAA location identifier for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
|
E673708
|
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: NPA | Statement: [KNPA, hasFAAIdentifier, NPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NPA Context triple: [KNPA, hasFAAIdentifier, NPA]
-
A.
NPA
NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
-
B.
NPAZ
NPAZ is the acronym for Zimbabwe’s National Prosecuting Authority, the state body responsible for directing public prosecutions and upholding criminal justice in the country.
-
C.
NAP
NAP is the publishing arm of the U.S. National Academies that produces and disseminates authoritative reports on science, engineering, and medicine.
-
D.
NAP
NAP is the IATA airport code for Naples International Airport, the main air gateway serving the city of Naples in southern Italy.
-
E.
NAPANT
NAPANT is the Slovak national park protecting the Low Tatras mountain range, known for its extensive forests, karst formations, and popular hiking and skiing areas.
- 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: NPA Triple: [KNPA, hasFAAIdentifier, NPA]
Generated description
NPA is the FAA location identifier for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NPA Target entity description: NPA is the FAA location identifier for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
-
A.
NPA
NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
-
B.
NPAZ
NPAZ is the acronym for Zimbabwe’s National Prosecuting Authority, the state body responsible for directing public prosecutions and upholding criminal justice in the country.
-
C.
NAP
NAP is the publishing arm of the U.S. National Academies that produces and disseminates authoritative reports on science, engineering, and medicine.
-
D.
NAP
NAP is the IATA airport code for Naples International Airport, the main air gateway serving the city of Naples in southern Italy.
-
E.
NAPANT
NAPANT is the Slovak national park protecting the Low Tatras mountain range, known for its extensive forests, karst formations, and popular hiking and skiing areas.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f921b458819092e565a4d099bbaf |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e7c5b48190b6f53f8d14ea753d |
completed | March 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69c858aea4fc81908be95d0d4e3f1072 |
completed | March 28, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85919f85081908558f8e8d4b9d057 |
completed | March 28, 2026, 10:41 p.m. |
Created at: March 27, 2026, 3:51 p.m.