Triple
T8352050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Railway zone |
E196584
|
entity |
| Predicate | numberOfRailwayZonesInSystem |
P57453
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Eastern Railway zone, numberOfRailwayZonesInSystem, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRailwayZonesInSystem Context triple: [Eastern Railway zone, numberOfRailwayZonesInSystem, 19]
-
A.
railwayZoneNumber
Indicates the specific numbered zone of a railway network within which the referenced entity is located or classified.
-
B.
numberOfZones
chosen
Indicates the quantity of distinct zones associated with or contained by a given entity.
-
C.
hasRailwayZone
Indicates that a location or railway entity falls under the jurisdiction or coverage area of a specific railway zone.
-
D.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
E.
numberOfRailLines
Indicates the total count of rail lines associated with or serving a given entity.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80460f048190aa298ddffde1047d |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.