Triple
T20677234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Juliet |
E508189
|
entity |
| Predicate | hasCommuterRailService |
P522
|
FINISHED |
| Object |
WeGo Star
WeGo Star is a commuter rail service operating in the Nashville, Tennessee metropolitan area, providing passenger rail connections between downtown Nashville and surrounding communities.
|
E1443922
|
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: WeGo Star | Statement: [Mount Juliet, hasCommuterRailService, WeGo Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeGo Star Context triple: [Mount Juliet, hasCommuterRailService, WeGo Star]
-
A.
Goes
Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
-
B.
Leo Express
Leo Express is a Czech private transportation company that operates long-distance passenger rail and bus services in Central and Eastern Europe.
-
C.
Gogo
Gogo is a mysterious, masked mimic character in Final Fantasy VI known for their ability to copy allies’ commands in battle.
-
D.
Gogo
Gogo is an in-flight internet service provider known for supplying Wi-Fi connectivity on commercial airlines.
-
E.
Gogo
Gogo is a diminutive form of the given name Georgi, commonly used as an affectionate nickname.
- 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: WeGo Star Triple: [Mount Juliet, hasCommuterRailService, WeGo Star]
Generated description
WeGo Star is a commuter rail service operating in the Nashville, Tennessee metropolitan area, providing passenger rail connections between downtown Nashville and surrounding communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WeGo Star Target entity description: WeGo Star is a commuter rail service operating in the Nashville, Tennessee metropolitan area, providing passenger rail connections between downtown Nashville and surrounding communities.
-
A.
Goes
Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
-
B.
Leo Express
Leo Express is a Czech private transportation company that operates long-distance passenger rail and bus services in Central and Eastern Europe.
-
C.
Gogo
Gogo is a mysterious, masked mimic character in Final Fantasy VI known for their ability to copy allies’ commands in battle.
-
D.
Gogo
Gogo is an in-flight internet service provider known for supplying Wi-Fi connectivity on commercial airlines.
-
E.
Gogo
Gogo is a diminutive form of the given name Georgi, commonly used as an affectionate nickname.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea24f288190928f828e5f567257 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6aa744819098c785d7195cdd2e |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.