Triple
T29555789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilaspur Junction railway station |
E749900
|
entity |
| Predicate | hasSuburbanConnection |
P68952
|
FINISHED |
| Object | Uslapur |
—
|
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: Uslapur | Statement: [Bilaspur Junction railway station, hasSuburbanConnection, Uslapur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuburbanConnection Context triple: [Bilaspur Junction railway station, hasSuburbanConnection, Uslapur]
-
A.
hasSuburbanService
chosen
Indicates that an entity provides or is connected to a public transportation service specifically serving suburban areas, typically linking suburbs with urban centers.
-
B.
hasSuburbanSection
Indicates that a larger route, line, or area includes a portion that passes through or serves a suburban region.
-
C.
hasSuburbanTerminus
Indicates that a transportation route or service ends at a terminus located in a suburban area.
-
D.
hasSuburbanRole
Indicates that one entity holds or performs a role, function, or status specifically associated with a suburban context in relation to another entity.
-
E.
isSuburbanHub
Indicates that a location functions as a primary activity or transit center within a suburban area, serving surrounding neighborhoods.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 28, 2026, 5:16 p.m.