Triple
T26265129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thane railway station |
E656958
|
entity |
| Predicate | hasSuburbanCorridor |
P15571
|
FINISHED |
| Object | Thane–Vashi line |
—
|
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: Thane–Vashi line | Statement: [Thane railway station, hasSuburbanCorridor, Thane–Vashi line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuburbanCorridor Context triple: [Thane railway station, hasSuburbanCorridor, Thane–Vashi line]
-
A.
hasSuburbanTerminus
Indicates that a transportation route or service ends at a terminus located in a suburban area.
-
B.
isSuburbanRoute
Indicates that a route primarily serves suburban areas, typically connecting residential suburbs with each other or with urban centers.
-
C.
hasSuburbanService
Indicates that an entity provides or is connected to a public transportation service specifically serving suburban areas, typically linking suburbs with urban centers.
-
D.
isSuburbanRailIn
Indicates that a suburban rail service or line operates within or belongs to a specified geographic area or region.
-
E.
hasSuburbanSection
chosen
Indicates that a larger route, line, or area includes a portion that passes through or serves a suburban region.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 26, 2026, 9:11 p.m.