Triple
T38573316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Trans Harbour Link |
E929334
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | transport project |
C66452
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: transport project Context triple: [Mumbai Trans Harbour Link, instanceOf, transport project]
-
A.
transport model
A transport model is a conceptual or mathematical representation used to simulate and analyze the movement of people, goods, or resources across a network or spatial system under various conditions and constraints.
-
B.
multimodal transport platform
A multimodal transport platform is an integrated system that coordinates and optimizes the planning, booking, and management of journeys across multiple transportation modes (such as rail, road, air, and sea) through a unified digital interface.
-
C.
regional Train Advise Assist Command
A regional Train Advise Assist Command is a military organizational entity responsible for training, advising, and assisting partner or allied security forces within a specific geographic area to enhance their operational capabilities and self-sufficiency.
-
D.
public transport information system
A public transport information system is a software platform that collects, processes, and disseminates real-time and scheduled data about public transit services to passengers, operators, and other stakeholders.
-
E.
public transit plan
A public transit plan is a structured strategy that outlines routes, schedules, resources, and policies to provide efficient, accessible, and sustainable transportation services within a community or region.
- F. None of above. chosen
Provenance (1 batch)
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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.