Triple
T25699822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salt Lake City |
E644426
|
entity |
| Predicate | hasNearbyMetroService |
P17559
|
FINISHED |
| Object | Kolkata Metro East-West corridor |
—
|
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: Kolkata Metro East-West corridor | Statement: [Salt Lake City, hasNearbyMetroService, Kolkata Metro East-West corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyMetroService Context triple: [Salt Lake City, hasNearbyMetroService, Kolkata Metro East-West corridor]
-
A.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
B.
hasNearbyUndergroundStationEntrance
Indicates that one entity is located close to an entrance of an underground (subway/metro) station.
-
C.
hasMetroLine
chosen
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
D.
isOnAutomatedMetroLine
Indicates that something (typically a metro station, segment, or service) belongs to or operates on a metro line that runs with automated (driverless or semi-driverless) train control.
-
E.
hasTransportationProximityTo
Indicates that one entity is located near or conveniently accessible to another entity in terms of transportation options or routes.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 21, 2026, 8:43 p.m.