Triple
T17357126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DEG |
E421966
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | DEG |
E421966
|
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: DEG | Statement: [DEG, shortName, DEG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEG Context triple: [DEG, shortName, DEG]
-
A.
DEG
chosen
DEG is a professional ice hockey club based in Düsseldorf, Germany, competing in the country’s top-tier league and known for its rich history and multiple championship titles.
-
B.
DEG
DEG is the vehicle registration code used for cars registered in the town of Plattling in Bavaria, Germany.
-
C.
DEGES
DEGES is a former German project management company responsible for planning and building major federal transport infrastructure, particularly motorways and highways.
-
D.
DEGS
DEGS is a large-scale, nationally representative health survey conducted in Germany to monitor the population’s health status, risk factors, and healthcare utilization over time.
-
E.
DEE
DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4976788190b00c00f710be6c46 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955c37b48190bcef819e106005d2 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.