Triple
T9581898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metrobús |
E231191
|
entity |
| Predicate | hasDedicatedInfrastructure |
P2560
|
FINISHED |
| Object | exclusive bus lanes |
—
|
LITERAL FINISHED |
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: exclusive bus lanes | Statement: [Mexico City Metrobús, hasDedicatedInfrastructure, exclusive bus lanes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDedicatedInfrastructure Context triple: [Mexico City Metrobús, hasDedicatedInfrastructure, exclusive bus lanes]
-
A.
hasInfrastructureType
chosen
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
B.
hasGlobalInfrastructure
Indicates that an entity possesses infrastructure, facilities, or operational capabilities that are distributed across multiple countries or regions worldwide.
-
C.
usesInfrastructure
Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
-
D.
ownedInfrastructureClass
Indicates that an entity possesses or controls infrastructure belonging to a specified class or category.
-
E.
hasInfrastructureOwner
Indicates that one entity owns or is responsible for the infrastructure associated with another entity.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cd59008190888eb11f00f61994 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.