Triple
T10552558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSY |
E248988
|
entity |
| Predicate | FAAIdentifier |
P420
|
FINISHED |
| Object | MSY |
E248988
|
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: MSY | Statement: [MSY, FAAIdentifier, MSY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSY Context triple: [MSY, FAAIdentifier, MSY]
-
A.
MSY
chosen
MSY is the IATA airport code for Louis Armstrong New Orleans International Airport, the primary commercial airport serving the New Orleans metropolitan area in Louisiana, USA.
-
B.
MSY
MSY is the station code for Mastic–Shirley, a Long Island Rail Road commuter rail station in Suffolk County, New York.
-
C.
MSFD
MSFD is a key European Union environmental policy aimed at achieving good environmental status of the EU’s marine waters and protecting marine ecosystems.
-
D.
Mysen
Mysen is a small town in Indre Østfold municipality in southeastern Norway, known as a local commercial and transport hub on the Østfold railway line.
-
E.
MY
MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d5820c8190a1ad6d6551d093bb |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d934639b3481908204db41101132c3 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:34 p.m.