Triple
T4795098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagpur Junction railway station |
E106690
|
entity |
| Predicate | isMajorRailwayHubIn |
P1071
|
FINISHED |
| Object | central 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: central India | Statement: [Nagpur Junction railway station, isMajorRailwayHubIn, central India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorRailwayHubIn Context triple: [Nagpur Junction railway station, isMajorRailwayHubIn, central India]
-
A.
hasMajorRailwayStation
chosen
Indicates that a place contains or is served by a principal railway station that functions as a major hub for rail transport.
-
B.
locatedInHubOf
Indicates that one entity is situated within the central hub or core area associated with another entity.
-
C.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
-
D.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
-
E.
countryCapitalStationFor
Indicates a relationship where a specific station serves as the capital station associated with a particular country.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.