Triple
T16484420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio H. Mende & Co. |
E400401
|
entity |
| Predicate | predecessorOf |
P97
|
FINISHED |
| Object | Nordmende |
E93262
|
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: Nordmende | Statement: [Radio H. Mende & Co., predecessorOf, Nordmende]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordmende Context triple: [Radio H. Mende & Co., predecessorOf, Nordmende]
-
A.
Nordmende
chosen
Nordmende is a historic German consumer electronics brand best known for its radios and televisions, later revived under various international ownerships.
-
B.
Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
-
C.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
D.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
-
E.
Nordby
Nordby is a village in the municipality of Ås in Viken county, Norway, known for its residential areas and proximity to the Oslo region.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e05bf448190947b9da15fd29d0a |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758bc924819099f29d01bd8a02a0 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:13 a.m.