Triple
T17970131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inverness Airport |
E449313
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | INV |
—
|
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: INV | Statement: [Inverness Airport, IATAcode, INV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INV Context triple: [Inverness Airport, IATAcode, INV]
-
A.
INV
chosen
INV is the three-letter IATA airport code for Inverness Airport in the Scottish Highlands.
-
B.
INST
INST is the stock ticker symbol for Instructure, an education technology company best known for its Canvas learning management system.
-
C.
INS
INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
-
D.
INS
INS is the acronym for Tunisia’s National Institute of Statistics, the official government body responsible for producing and disseminating national statistical data.
-
E.
Inst
Inst is the common nickname for the Royal Belfast Academical Institution, a historic and prestigious grammar school in Belfast, Northern Ireland.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b13b1b088190b7d71006b31e5cc3 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.