Triple
T9408892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Servicio de Transportes Eléctricos de la Ciudad de México |
E226655
|
entity |
| Predicate | hasTransportNetworkType |
P87177
|
FINISHED |
| Object | trolleybus network |
—
|
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: trolleybus network | Statement: [Servicio de Transportes Eléctricos de la Ciudad de México, hasTransportNetworkType, trolleybus network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportNetworkType Context triple: [Servicio de Transportes Eléctricos de la Ciudad de México, hasTransportNetworkType, trolleybus network]
-
A.
isInTransportNetwork
Indicates that an entity is part of, connected to, or contained within a specific transport network or system.
-
B.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
C.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
D.
hasTransportationRelation
Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
-
E.
hasTransportationElement
chosen
Indicates that one entity includes, involves, or is associated with a specific transportation-related component or feature.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd52547f0c81908ed4f53b9f05ebaa |
completed | April 1, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:47 p.m.