Triple
T15333228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State/Lake |
E366593
|
entity |
| Predicate | servedByLine |
P1293
|
FINISHED |
| Object |
Green Line
The Green Line is a major rapid transit route in Chicago's 'L' system, running primarily along the city's West and South Sides.
|
E17058
|
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: Green Line | Statement: [State/Lake, servedByLine, Green Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Line Context triple: [State/Lake, servedByLine, Green Line]
-
A.
Green Line
The Green Line is the oldest and busiest line of the Athens Metro, running primarily at ground level and connecting key northern and southern suburbs through central Athens.
-
B.
Green Line
The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
-
C.
Green Line
The Green Line was the former name of Los Angeles Metro's C Line, a light rail route serving the South Bay region and connecting to LAX via nearby stations.
-
D.
Green Line
The Green Line is a light rail service route within the San Diego Trolley system that connects key destinations across the San Diego metropolitan area.
-
E.
Green Line
The Green Line is a light rail service operated as part of Cleveland's RTA Rapid Transit system.
- 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: Green Line Triple: [State/Lake, servedByLine, Green Line]
Generated description
The Green Line is a major rapid transit route in Chicago's 'L' system, running primarily along the city's West and South Sides.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Green Line Target entity description: The Green Line is a major rapid transit route in Chicago's 'L' system, running primarily along the city's West and South Sides.
-
A.
Green Line
chosen
The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
-
B.
Green Line
The Green Line is a rapid transit route within Miami-Dade County's Metrorail system, providing north-south rail service through key urban neighborhoods and connections.
-
C.
Green Line
The Green Line is one of the color-coded rapid transit routes in the Washington Metro system, serving key neighborhoods in Washington, D.C. and parts of Maryland.
-
D.
Green Line
The Green Line is one of the main light rail routes of Dublin’s Luas tram system, serving key suburbs and city areas along its corridor.
-
E.
Green Line
The Green Line is a light rail service operated as part of Cleveland's RTA Rapid Transit system.
- F. None of above.
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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ecb904819082454622dcd77556 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff03d4432c8190af9ce13c0ff70a36 |
completed | May 9, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff044e01308190b2f077aecae1eece |
completed | May 9, 2026, 9:54 a.m. |
Created at: April 10, 2026, 3:17 a.m.