Triple
T7782691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baoji |
E221560
|
entity |
| Predicate | railHubRole |
P523
|
FINISHED |
| Object | junction for rail lines between central and western China |
—
|
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: junction for rail lines between central and western China | Statement: [Baoji, railHubRole, junction for rail lines between central and western China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railHubRole Context triple: [Baoji, railHubRole, junction for rail lines between central and western China]
-
A.
isRailHubFor
chosen
Indicates that a location functions as a central node or interchange point within a rail network for the referenced area, routes, or services.
-
B.
harborRole
Indicates that an entity serves in a particular capacity, function, or role within a specified context or relationship.
-
C.
hubFor
Indicates that one entity serves as a central node or focal point through which activities, connections, or resources related to another entity are organized or routed.
-
D.
infrastructureRole
Indicates that one entity serves a specific infrastructural function or capacity in relation to another entity.
-
E.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:22 p.m.