Triple
T11428294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milwaukee County Transit System |
E270810
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MCTS
MCTS is the primary public bus transportation system serving Milwaukee County, Wisconsin.
|
E924864
|
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: MCTS | Statement: [Milwaukee County Transit System, shortName, MCTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCTS Context triple: [Milwaukee County Transit System, shortName, MCTS]
-
A.
MCTS
MCTS is a heuristic search algorithm that uses randomized simulations to efficiently explore large decision trees, widely applied in game-playing AI and other complex planning problems.
-
B.
MCS
MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
-
C.
MCS
MCS is a scientific instrument aboard NASA’s Mars Reconnaissance Orbiter that measures the Martian atmosphere’s temperature, dust, and water vapor profiles.
-
D.
MCS
MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
-
E.
MBTS
MBTS is a Southern Baptist seminary in Kansas City, Missouri, focused on training pastors, missionaries, and church leaders for Christian ministry.
- 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: MCTS Triple: [Milwaukee County Transit System, shortName, MCTS]
Generated description
MCTS is the primary public bus transportation system serving Milwaukee County, Wisconsin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MCTS Target entity description: MCTS is the primary public bus transportation system serving Milwaukee County, Wisconsin.
-
A.
MCTS
MCTS is a heuristic search algorithm that uses randomized simulations to efficiently explore large decision trees, widely applied in game-playing AI and other complex planning problems.
-
B.
MCS
MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
-
C.
MCS
MCS is a scientific instrument aboard NASA’s Mars Reconnaissance Orbiter that measures the Martian atmosphere’s temperature, dust, and water vapor profiles.
-
D.
MCS
MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
-
E.
MBTS
MBTS is a Southern Baptist seminary in Kansas City, Missouri, focused on training pastors, missionaries, and church leaders for Christian ministry.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c000b88190bfaa646b2dc424b7 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8d923688190bb4d61d57768e10e |
completed | April 20, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69e5c28e2dd481909b45a43b5825f393 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c4722c348190a4c49edb1f6df240 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:35 p.m.