Triple
T11964388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther College |
E284754
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MLC
MLC is a private Lutheran college in New Ulm, Minnesota, that primarily prepares students for careers in Christian ministry and education.
|
E957004
|
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: MLC | Statement: [Martin Luther College, abbreviation, MLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLC Context triple: [Martin Luther College, abbreviation, MLC]
-
A.
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
B.
MLC
MLC is a Congolese political party and former rebel group that played a major role in the Second Congo War and subsequent politics of the Democratic Republic of the Congo.
-
C.
MLC 2006
MLC 2006 is an international maritime labor convention that sets comprehensive minimum standards for the working and living conditions of seafarers worldwide.
-
D.
MLC Limited
MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
-
E.
ML3
ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
- 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: MLC Triple: [Martin Luther College, abbreviation, MLC]
Generated description
MLC is a private Lutheran college in New Ulm, Minnesota, that primarily prepares students for careers in Christian ministry and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MLC Target entity description: MLC is a private Lutheran college in New Ulm, Minnesota, that primarily prepares students for careers in Christian ministry and education.
-
A.
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
B.
MLC
MLC is a Congolese political party and former rebel group that played a major role in the Second Congo War and subsequent politics of the Democratic Republic of the Congo.
-
C.
MLC 2006
MLC 2006 is an international maritime labor convention that sets comprehensive minimum standards for the working and living conditions of seafarers worldwide.
-
D.
MLC Limited
MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
-
E.
ML3
ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903799f948190a5dc4d3822f3ff27 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4594054f08190b28b35f62dfb9198 |
completed | May 1, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:45 p.m.