Triple
T7067847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nantucket Memorial Airport |
E164606
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | KACK |
E164606
|
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: KACK | Statement: [Nantucket Memorial Airport, hasICAOCode, KACK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KACK Context triple: [Nantucket Memorial Airport, hasICAOCode, KACK]
-
A.
KACK
chosen
KACK is the ICAO airport code for Nantucket Memorial Airport, a public airport serving Nantucket Island in Massachusetts, USA.
-
B.
KALB
KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
-
C.
KCCO
KCCO is the ICAO airport code for Newnan–Coweta County Airport, a public-use airport serving Newnan and Coweta County in Georgia, United States.
-
D.
KRDG
KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
-
E.
KODK
KODK is the stock ticker symbol for Eastman Kodak Company, an American technology company historically known for its photography and imaging products.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a935488190a8c9c21bf30dd5d4 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a31a43b481908e535afc393b242a |
completed | March 28, 2026, 9:44 a.m. |
Created at: March 27, 2026, 2:39 p.m.