Triple
T37113342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulund railway station |
E919052
|
entity |
| Predicate | hasSuburbanRailSystem |
P522
|
FINISHED |
| Object | Mumbai local trains |
—
|
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: Mumbai local trains | Statement: [Mulund railway station, hasSuburbanRailSystem, Mumbai local trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuburbanRailSystem Context triple: [Mulund railway station, hasSuburbanRailSystem, Mumbai local trains]
-
A.
isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
-
B.
isSuburbanRailIn
Indicates that a suburban rail service or line operates within or belongs to a specified geographic area or region.
-
C.
hasLightRailSystem
Indicates that a place possesses and operates a light rail transit system.
-
D.
hasRailSystem
chosen
Indicates that an entity possesses or is served by a rail-based transportation system.
-
E.
isUrbanRailwayIn
Indicates that an urban railway system or line is located within or operates inside a specified geographic or administrative area.
- 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00383e868c819098fd17e25fcbdb04 |
completed | May 10, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a0037cc59688190b7b9da939a413db3 |
completed | May 10, 2026, 7:46 a.m. |
Created at: May 3, 2026, 4:15 p.m.