Triple
T3813183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Capital Region |
E93183
|
entity |
| Predicate | containsMetroSystem |
P39430
|
FINISHED |
| Object | Delhi Metro |
E19472
|
NE FINISHED |
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: Delhi Metro | Statement: [National Capital Region, containsMetroSystem, Delhi Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delhi Metro Context triple: [National Capital Region, containsMetroSystem, Delhi Metro]
-
A.
Delhi Metro
chosen
Delhi Metro is a rapid transit system serving Delhi and its surrounding metropolitan region, known for its extensive network, modern infrastructure, and role in easing urban congestion.
-
B.
Mumbai Metro
Mumbai Metro is a rapid transit system serving the Mumbai metropolitan region, designed to alleviate congestion and complement the city’s suburban railway network.
-
C.
Kolkata Metro
Kolkata Metro is India’s oldest rapid transit system, serving as a major urban rail network for the city of Kolkata and its surrounding areas.
-
D.
Lucknow Metro
Lucknow Metro is a rapid transit system serving the city of Lucknow in Uttar Pradesh, India, designed to provide fast, modern urban transportation.
-
E.
Hyderabad Metro
Hyderabad Metro is a rapid transit system serving the city of Hyderabad, India, featuring multiple elevated corridors designed to ease urban traffic congestion and improve public transportation.
- 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: containsMetroSystem Context triple: [National Capital Region, containsMetroSystem, Delhi Metro]
-
A.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
B.
hasSubwayComplex
Indicates that one entity contains or is associated with a subway complex as part of its structure or facilities.
-
C.
hasMajorPublicTransitSystem
Indicates that a place possesses a significant, widely used public transportation network (such as buses, subways, or trains) that serves a large portion of its population.
-
D.
hasLightRailSystem
Indicates that a place possesses and operates a light rail transit system.
-
E.
hasMetroStations
chosen
Indicates that a place or area is served by one or more metro (subway) stations.
- F. None of above.
Provenance (4 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb3a69908190ba8e7ac37c8ca0f8 |
completed | March 14, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:16 p.m.