Triple
T2633928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Paulo Metro |
E59698
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 15–Silver
Line 15–Silver is a driverless monorail line of the São Paulo Metro system serving the city’s eastern zone.
|
E282989
|
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: Line 15–Silver | Statement: [São Paulo Metro, hasLine, Line 15–Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 15–Silver Context triple: [São Paulo Metro, hasLine, Line 15–Silver]
-
A.
Pink Line
Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
-
B.
Pink Line
The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
-
C.
Metro Line 1
Metro Line 1 is a primary rapid transit route in its city's metro system, serving as a major corridor for passenger travel and interchanges with other lines.
-
D.
Violet Line
Violet Line is one of the major corridors of the Delhi Metro network, connecting central Delhi with key southern and southeastern suburbs.
-
E.
Metro Line 4
Metro Line 4 is a rapid transit route within a city's metro system that connects with other lines, including Metro Line 6, to facilitate passenger transfers across the network.
- 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: Line 15–Silver Triple: [São Paulo Metro, hasLine, Line 15–Silver]
Generated description
Line 15–Silver is a driverless monorail line of the São Paulo Metro system serving the city’s eastern zone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 15–Silver Target entity description: Line 15–Silver is a driverless monorail line of the São Paulo Metro system serving the city’s eastern zone.
-
A.
Pink Line
The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
-
B.
Pink Line
Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
-
C.
Metro Line 1
Metro Line 1 is a primary rapid transit route in its city's metro system, serving as a major corridor for passenger travel and interchanges with other lines.
-
D.
Violet Line
Violet Line is one of the major corridors of the Delhi Metro network, connecting central Delhi with key southern and southeastern suburbs.
-
E.
Metro Line 4
Metro Line 4 is a rapid transit route within a city's metro system that connects with other lines, including Metro Line 6, to facilitate passenger transfers across the network.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a996188190b3a83a31e69d09ef |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af917359bc8190a72e7465fe1d94bd |
completed | March 10, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af91e0ef408190b1ab9cb9f8bbdaca |
completed | March 10, 2026, 3:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.