Triple
T21965264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 3 (Stockholm Arlanda Airport) |
E542440
|
entity |
| Predicate | hasIATACodeOfAirport |
P2569
|
FINISHED |
| Object | ARN |
—
|
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: ARN | Statement: [Terminal 3 (Stockholm Arlanda Airport), hasIATACodeOfAirport, ARN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARN Context triple: [Terminal 3 (Stockholm Arlanda Airport), hasIATACodeOfAirport, ARN]
-
A.
ARN
chosen
ARN is the three-letter IATA airport code for Stockholm Arlanda Airport, the main international gateway to Stockholm and one of Sweden’s busiest airports.
-
B.
ARN
ARN is the three-letter National Rail station code assigned to Arnside railway station in Cumbria, England.
-
C.
Arn
Arn is the station code for Arnemuiden railway station in the Netherlands.
-
D.
ARAM
ARAM is a fast-paced League of Legends game mode where teams fight continuously on a single narrow bridge-like map with randomly assigned champions.
-
E.
ANK
ANK is a German vehicle registration code used for the district of Vorpommern-Greifswald in the state of Mecklenburg-Vorpommern.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.