Triple
T33382677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Raza area |
E854825
|
entity |
| Predicate | metrobúsLines |
P37810
|
FINISHED |
| Object | Line 1 of Metrobús |
—
|
NE NERFINISHED |
How this triple was built (2 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 1 of Metrobús | Statement: [La Raza area, metrobúsLines, Line 1 of Metrobús]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metrobúsLines Context triple: [La Raza area, metrobúsLines, Line 1 of Metrobús]
-
A.
hasTrolleybusLine
Indicates that there exists a trolleybus service or route connecting the related entities.
-
B.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
C.
hasBRTLine
chosen
Indicates that a bus rapid transit (BRT) line is present, operates on, or serves the referenced entity.
-
D.
providesUrbanTransport
Indicates that one entity supplies or operates transportation services within an urban or city environment for another entity or the public.
-
E.
metroLineInaugurated
Indicates that a metro line was officially opened and began operation on a specific date or during a specific event.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.