Triple
T17778148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NE-92 trains |
E443825
|
entity |
| Predicate | networkLineColor |
P34402
|
FINISHED |
| Object | Blue line (Line 2) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Blue line (Line 2) | Statement: [NE-92 trains, networkLineColor, Blue line (Line 2)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue line (Line 2) Context triple: [NE-92 trains, networkLineColor, Blue line (Line 2)]
-
A.
Line 2 (Blue Line)
Line 2 (Blue Line) is one of the main lines of the Mexico City Metro system, running on a north–south axis through several key central and residential areas.
-
B.
Line 2–Green
Line 2–Green is a major rapid transit line of the São Paulo Metro system, serving key central and eastern districts of São Paulo, Brazil.
-
C.
Línea 2
Línea 2 is a metro line that forms part of an urban rapid transit network and connects with other lines, including Línea 6, at designated interchange stations.
-
D.
Metro Line 2
chosen
Metro Line 2 is one of the main lines of the Mexico City Metro system, running north–south through key residential and commercial areas and serving as a major transit corridor for daily commuters.
-
E.
Line 2
Line 2 is a major route of the Tunis Metro light rail network, serving key districts within the Tunis metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkLineColor Context triple: [NE-92 trains, networkLineColor, Blue line (Line 2)]
-
A.
networkLine
Indicates that there is a connection or linkage between entities within a network structure or system.
-
B.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
C.
connectedLine
Indicates that two entities are joined by a continuous line or linear connection.
-
D.
mapColorLine
Indicates a relationship where a specific color is assigned to or associated with a particular line (such as a route, path, or boundary) on a map.
-
E.
lineType
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
- F. None of above.
Provenance (3 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871e06a481909cf6d59e49dc21c5 |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.