Triple
T22746512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenai Municipal Airport |
E562568
|
entity |
| Predicate | hasFAAIdentifier |
P420
|
FINISHED |
| Object | ENA |
—
|
NE NERFINISHED |
How this triple was built (2 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: ENA | Statement: [Kenai Municipal Airport, hasFAAIdentifier, ENA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENA Context triple: [Kenai Municipal Airport, hasFAAIdentifier, ENA]
-
A.
ENA
ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
-
B.
ENA
chosen
ENA is the IATA airport code for Kenai Municipal Airport in Kenai, Alaska, United States.
-
C.
ENE
ENE was the stock ticker symbol for Enron Corporation, the American energy company infamous for its massive accounting fraud and subsequent 2001 bankruptcy.
-
D.
ENO
ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
-
E.
ANA
ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b634b88190906edd92a971f921 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.