Triple
T17420630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Eastern Railway zone |
E423601
|
entity |
| Predicate | belongsToRailwayZoneGroup |
P52555
|
FINISHED |
| Object | Northern and Eastern railway zones of India |
—
|
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: Northern and Eastern railway zones of India | Statement: [North Eastern Railway zone, belongsToRailwayZoneGroup, Northern and Eastern railway zones of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToRailwayZoneGroup Context triple: [North Eastern Railway zone, belongsToRailwayZoneGroup, Northern and Eastern railway zones of India]
-
A.
hasRailwayZone
Indicates that a location or railway entity falls under the jurisdiction or coverage area of a specific railway zone.
-
B.
railwayZoneNumber
Indicates the specific numbered zone of a railway network within which the referenced entity is located or classified.
-
C.
hasStationGroup
Indicates that an entity is associated with, or belongs to, a particular group or collection of stations.
-
D.
belongsToUrbanZone
Indicates that something is located within, or is a part of, a designated urban zone or area.
-
E.
railwayGrouping
chosen
Indicates the organizational or administrative grouping to which a railway or railway-related entity belongs.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e442372954819085f332efc7067ae9 |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.