Triple
T11213441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barabanki |
E265366
|
entity |
| Predicate | hasRailwayJunctionStatus |
P14468
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
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: yes | Statement: [Barabanki, hasRailwayJunctionStatus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailwayJunctionStatus Context triple: [Barabanki, hasRailwayJunctionStatus, yes]
-
A.
railwayJunctionFor
chosen
Indicates that a location serves as a junction point where multiple railway lines or routes connect or intersect for a given railway network or service.
-
B.
hasRailwayJunctionHistorically
Indicates that an entity historically functioned as a railway junction, where multiple rail lines intersected or connected in the past.
-
C.
railStatus
Indicates the current operational condition or state of a rail-related entity (such as a track, line, or service) within the system.
-
D.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
E.
hasRailwayStationRole
Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d7f47c8190b78c640ff1a01943 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.