Triple
T2954824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 2 AC connector |
E79906
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object |
Mennekes
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
|
E315293
|
NE FINISHED |
How this triple was built (4 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: Mennekes | Statement: [Type 2 AC connector, introducedBy, Mennekes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mennekes Context triple: [Type 2 AC connector, introducedBy, Mennekes]
-
A.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
B.
Stoffels
Stoffels is the surname of Hendrickje Stoffels, best known as the partner and model of the Dutch painter Rembrandt van Rijn.
-
C.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
D.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
E.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mennekes Triple: [Type 2 AC connector, introducedBy, Mennekes]
Generated description
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mennekes Target entity description: Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
-
A.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
B.
Stoffels
Stoffels is the surname of Hendrickje Stoffels, best known as the partner and model of the Dutch painter Rembrandt van Rijn.
-
C.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
D.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
E.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
- F. None of above. chosen
Provenance (5 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98ff874c81908077a90fdc5e8549 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc86af78819089ff24f2621b151f |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b1003ac79c8190b25f12823b6010ed |
completed | March 11, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10421ab508190a741b1973bd05b17 |
completed | March 11, 2026, 5:56 a.m. |
Created at: March 8, 2026, 2:57 p.m.