Triple
T17256271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vastral Depot |
E418889
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | Ahmedabad Metro |
—
|
NE NERFINISHED |
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: Ahmedabad Metro | Statement: [Vastral Depot, network, Ahmedabad Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahmedabad Metro Context triple: [Vastral Depot, network, Ahmedabad Metro]
-
A.
Ahmedabad Metro
chosen
Ahmedabad Metro is a rapid transit system serving the city of Ahmedabad and its surrounding areas in the Indian state of Gujarat.
-
B.
Navi Mumbai Metro
Navi Mumbai Metro is a rapid transit system serving the planned city of Navi Mumbai in the Mumbai Metropolitan Region, designed to improve urban connectivity and reduce traffic congestion.
-
C.
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.
-
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.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6ceb9c8190a4eeaf10e90cd5a0 |
completed | April 19, 2026, 1:22 a.m. |
Created at: April 10, 2026, 5:39 a.m.