Triple
T28944434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 北区 |
E730539
|
entity |
| Predicate | hasMajorRailwayHubs |
P1071
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [北区, hasMajorRailwayHubs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorRailwayHubs Context triple: [北区, hasMajorRailwayHubs, true]
-
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.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
-
C.
hasMajorRailCorridor
Indicates that a location or region is traversed by a primary, high-capacity railway route used for significant passenger or freight transport.
-
D.
hasMajorHubIn
Indicates that an entity maintains a primary or significant operational hub or center in a specified location.
-
E.
hasMajorCityHub
Indicates that an entity contains or is associated with a primary, high-importance city that functions as a central hub for activity, services, or connectivity.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
Created at: April 28, 2026, 8:39 a.m.