Triple
T10761217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Central Railway zone |
E253830
|
entity |
| Predicate | numberOfRailwayZonesInCountryAtFormation |
P95849
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [East Central Railway zone, numberOfRailwayZonesInCountryAtFormation, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRailwayZonesInCountryAtFormation Context triple: [East Central Railway zone, numberOfRailwayZonesInCountryAtFormation, 16]
-
A.
railwayRegion
Indicates a relationship where a railway or rail network is associated with, located in, or administered within a particular geographic region.
-
B.
railwayZoneNumber
Indicates the specific numbered zone of a railway network within which the referenced entity is located or classified.
-
C.
railwaySectionOpeningDate
Indicates the date on which a specific section of a railway line was officially opened for operation.
-
D.
hasRailwayZone
Indicates that a location or railway entity falls under the jurisdiction or coverage area of a specific railway zone.
-
E.
introducedRailwaysInState
Indicates that an entity was responsible for bringing or establishing railway services within a particular state.
- F. None of above. chosen
Provenance (4 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a230ac8190920439076aaeb91e |
completed | April 9, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:16 p.m.