Triple
T2460049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salsette Island |
E54511
|
entity |
| Predicate | hasMetroSystem |
P522
|
FINISHED |
| Object | Mumbai Metro |
E55423
|
NE 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: Mumbai Metro | Statement: [Salsette Island, hasMetroSystem, Mumbai Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mumbai Metro Context triple: [Salsette Island, hasMetroSystem, Mumbai Metro]
-
A.
Mumbai Metro
chosen
Mumbai Metro is a rapid transit system serving the Mumbai metropolitan region, designed to alleviate congestion and complement the city’s suburban railway network.
-
B.
Mumbai Monorail
Mumbai Monorail is an elevated urban rail system in Mumbai, India, designed to supplement the city's existing public transport network and ease congestion.
-
C.
Nagpur Metro
Nagpur Metro is a rapid transit system serving the city of Nagpur in Maharashtra, India, designed to improve urban mobility and reduce traffic congestion.
-
D.
Delhi Metro
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.
-
E.
Ahmedabad Metro
Ahmedabad Metro is a rapid transit system serving the city of Ahmedabad and its surrounding areas in the Indian state of Gujarat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10ba66481909580e994b22fd406 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0cff4248190832f75ce36a357e2 |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.