Triple
T5621577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Mayensfield |
E147616
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | ENJA |
E147616
|
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: ENJA | Statement: [Jan Mayensfield, hasICAOCode, ENJA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENJA Context triple: [Jan Mayensfield, hasICAOCode, ENJA]
-
A.
ENJA
chosen
ENJA is the ICAO airport code for Jan Mayensfield, the airfield serving the remote Norwegian island of Jan Mayen in the Arctic Ocean.
-
B.
Enz
The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
-
C.
Enga
Enga is the popular nickname of Vålerenga Fotball, a prominent Oslo-based Norwegian football club known for its passionate supporters.
-
D.
ENA
ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
-
E.
Enijabro
Enijabro is one of the small islands that make up Maloelap Atoll in the Marshall Islands of the central Pacific Ocean.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022133eec819086acb04864dde5ee |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a0ed3748190875aacdf5e9ee211 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:40 p.m.