Triple
T15065781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Management Development Institute |
E379751
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MDI
MDI is a premier Indian business school renowned for its postgraduate management programs and executive education.
|
E1134629
|
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: MDI | Statement: [Management Development Institute, abbreviation, MDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDI Context triple: [Management Development Institute, abbreviation, MDI]
-
A.
MDC
MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
-
B.
MDC
MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
-
C.
MDT
MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
-
D.
MDT
MDT is the state agency responsible for planning, building, and maintaining Montana’s transportation infrastructure, including highways and related systems.
-
E.
MDV
MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
- 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: MDI Triple: [Management Development Institute, abbreviation, MDI]
Generated description
MDI is a premier Indian business school renowned for its postgraduate management programs and executive education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDI Target entity description: MDI is a premier Indian business school renowned for its postgraduate management programs and executive education.
-
A.
MDC
MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
-
B.
MDC
MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
-
C.
MDT
MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
-
D.
MDT
MDT is the state agency responsible for planning, building, and maintaining Montana’s transportation infrastructure, including highways and related systems.
-
E.
MDV
MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeea750c819082d8823c9ab6c5a2 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cb04e88190a42bb0e516df61bc |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea66a04988190b483210c1671d287 |
completed | May 9, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea70e2fbc81908f168925b06bdbd6 |
completed | May 9, 2026, 3:16 a.m. |
Created at: April 10, 2026, 3:02 a.m.