Triple
T8010283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester International Airport |
E186470
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | KRST |
E618393
|
NE FINISHED |
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: KRST | Statement: [Rochester International Airport, ICAOcode, KRST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KRST Context triple: [Rochester International Airport, ICAOcode, KRST]
-
A.
KRST
chosen
KRST is the ICAO airport code for Rochester International Airport in Rochester, Minnesota, United States.
-
B.
Kru
Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
-
C.
KRAL
KRAL is the ICAO airport code for Riverside Municipal Airport in Riverside, California, United States.
-
D.
CRK
CRK is the IATA airport code for Clark International Airport, a major aviation hub located in Pampanga, Philippines.
-
E.
KRS
KRS is a major masonry dam in Karnataka, India, built across the Kaveri River and known for its role in irrigation, water supply, and the Brindavan Gardens.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d70caf8819090a9f98025470c0d |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56a54e8081908208b57b7390cc95 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:19 p.m.