Triple
T580155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champaign–Urbana Mass Transit District |
E15037
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MTD
MTD is the public bus transit agency serving the Champaign–Urbana metropolitan area in Illinois.
|
E72153
|
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: MTD | Statement: [Champaign–Urbana Mass Transit District, shortName, MTD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTD Context triple: [Champaign–Urbana Mass Transit District, shortName, MTD]
-
A.
MDT
MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
-
B.
.mt
.mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
-
C.
MDA
MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
-
D.
MTO
MTO is an abbreviation for the Mediterranean Theater of Operations, the World War II combat zone encompassing Allied and Axis military campaigns around the Mediterranean Sea.
-
E.
MET
MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
- 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: MTD Triple: [Champaign–Urbana Mass Transit District, shortName, MTD]
Generated description
MTD is the public bus transit agency serving the Champaign–Urbana metropolitan area in Illinois.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTD Target entity description: MTD is the public bus transit agency serving the Champaign–Urbana metropolitan area in Illinois.
-
A.
MDT
MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
-
B.
.mt
.mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
-
C.
MDA
MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
-
D.
MTO
MTO is an abbreviation for the Mediterranean Theater of Operations, the World War II combat zone encompassing Allied and Axis military campaigns around the Mediterranean Sea.
-
E.
MET
MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b82b5248190ac863407e8207a3b |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501c1b8448190847197d984f211c3 |
completed | March 2, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69a503b5bae48190b5fb937cfd2fb661 |
completed | March 2, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5040d2b888190afc18775b4702527 |
completed | March 2, 2026, 3:29 a.m. |
Created at: March 1, 2026, 7:33 p.m.