Triple
T2633927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Paulo Metro |
E59698
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 5–Lilac
Line 5–Lilac is a rapid transit line of the São Paulo Metro system serving the city’s south and southwest zones.
|
E282988
|
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 5–Lilac | Statement: [São Paulo Metro, hasLine, Line 5–Lilac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 5–Lilac Context triple: [São Paulo Metro, hasLine, Line 5–Lilac]
-
A.
Metro Line 54
Metro Line 54 is a rapid transit line in the Amsterdam Metro system that connects the city center with southeastern suburbs such as Bijlmermeer.
-
B.
Line 4B
Line 4B is a planned rapid transit line of the Ho Chi Minh City Metro intended to expand urban rail connectivity within Vietnam’s largest city.
-
C.
Metro Line 5
Metro Line 5 is a rapid transit route within a city's metro system that connects with Metro Line 6 at one or more interchange stations.
-
D.
Line 4A
Line 4A is a short branch line of the Santiago Metro in Chile that connects parts of southeastern Santiago to the main Line 4 corridor.
-
E.
Metro Line 53
Metro Line 53 is a rapid transit line in Amsterdam that connects the city center with the southeastern suburbs as part of the Amsterdam Metro 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: Line 5–Lilac Triple: [São Paulo Metro, hasLine, Line 5–Lilac]
Generated description
Line 5–Lilac is a rapid transit line of the São Paulo Metro system serving the city’s south and southwest zones.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 5–Lilac Target entity description: Line 5–Lilac is a rapid transit line of the São Paulo Metro system serving the city’s south and southwest zones.
-
A.
Metro Line 54
Metro Line 54 is a rapid transit line in the Amsterdam Metro system that connects the city center with southeastern suburbs such as Bijlmermeer.
-
B.
Line 4B
Line 4B is a planned rapid transit line of the Ho Chi Minh City Metro intended to expand urban rail connectivity within Vietnam’s largest city.
-
C.
Metro Line 5
Metro Line 5 is a rapid transit route within a city's metro system that connects with Metro Line 6 at one or more interchange stations.
-
D.
Line 4A
Line 4A is a short branch line of the Santiago Metro in Chile that connects parts of southeastern Santiago to the main Line 4 corridor.
-
E.
Metro Line 53
Metro Line 53 is a rapid transit line in Amsterdam that connects the city center with the southeastern suburbs as part of the Amsterdam Metro system.
- 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.