Triple
T15797777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mannheimer ERC |
E383025
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MER
MER is the abbreviated name of the Mannheimer ERC, a sports club based in Mannheim, Germany.
|
E1176997
|
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: MER | Statement: [Mannheimer ERC, shortName, MER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MER Context triple: [Mannheimer ERC, shortName, MER]
-
A.
MER
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
-
B.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
C.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
-
D.
Mer
Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
-
E.
MOR
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
- 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: MER Triple: [Mannheimer ERC, shortName, MER]
Generated description
MER is the abbreviated name of the Mannheimer ERC, a sports club based in Mannheim, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MER Target entity description: MER is the abbreviated name of the Mannheimer ERC, a sports club based in Mannheim, Germany.
-
A.
MER
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
-
B.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
C.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
-
D.
Mer
Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
-
E.
MOR
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4def80481908f72733ce9133bc6 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b08ab48190892c700f5eb261d8 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff936cbbc8819097958ac02673a474 |
completed | May 9, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff93ed15ec8190b9361f7ad4c7e447 |
completed | May 9, 2026, 8:07 p.m. |
Created at: April 10, 2026, 4:48 a.m.