Triple
T20137840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EETN |
E491070
|
entity |
| Predicate | servesAsHubFor |
P423
|
FINISHED |
| Object | Nordica |
—
|
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: Nordica | Statement: [EETN, servesAsHubFor, Nordica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordica Context triple: [EETN, servesAsHubFor, Nordica]
-
A.
Nordica
chosen
Nordica is Estonia’s national airline, operating regional and international flights primarily across Europe.
-
B.
Black Diamond Equipment
Black Diamond Equipment is an American company that designs and manufactures high-performance climbing, skiing, and mountain sports gear.
-
C.
K2 Sports
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
D.
Madshus
Madshus is a Norwegian ski manufacturer renowned for its high-quality cross-country skis and long heritage in Nordic skiing.
-
E.
Hardwood Ski and Bike
Hardwood Ski and Bike is an outdoor recreation centre in Oro-Medonte, Ontario, known for its extensive cross-country skiing, mountain biking, and multi-use trail systems.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.