Triple
T4795212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharashtra Legislative Council |
E106693
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
|
E470451
|
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: [Maharashtra Legislative Council, shortName, MLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLC Context triple: [Maharashtra Legislative Council, shortName, MLC]
-
A.
MLC Limited
MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
-
B.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
-
C.
MCL
MCL is a specialized postgraduate law degree at the University of Cambridge focused on corporate and commercial law.
-
D.
MCC
MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
-
E.
MCC
MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
- 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: [Maharashtra Legislative Council, shortName, MLC]
Generated description
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MLC Target entity description: MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
A.
MLC Limited
MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
-
B.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
-
C.
MCL
MCL is a specialized postgraduate law degree at the University of Cambridge focused on corporate and commercial law.
-
D.
MCC
MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
-
E.
MCC
MCC is one of the shorter companion races of the Ultra-Trail du Mont-Blanc trail-running event, typically designed for newer trail runners and local participants.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6609e9888190b49f99bb9fb2279d |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43f512e0819086cc33009cd45c9a |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be44cb99ac819089bbb941709a93c4 |
completed | March 21, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be451e8d7c81908d856e7966daa5fe |
completed | March 21, 2026, 7:13 a.m. |
Created at: March 20, 2026, 1:22 p.m.