Triple
T12210642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuzhou East railway station |
E290946
|
entity |
| Predicate | connectedToTransport |
P37664
|
FINISHED |
| Object | urban bus services |
—
|
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: urban bus services | Statement: [Xuzhou East railway station, connectedToTransport, urban bus services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToTransport Context triple: [Xuzhou East railway station, connectedToTransport, urban bus services]
-
A.
connectionTo
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
B.
connectedToEvent
Indicates that an entity has a direct association or linkage with a specific event.
-
C.
aimedToConnect
Indicates an intention or effort by one entity to establish a link, relationship, or communication channel with another entity.
-
D.
connectsState
Indicates a relationship where one entity serves as a link or conduit between different states, conditions, or statuses of another entity.
-
E.
transportConnectionTo
chosen
Indicates a relationship where one entity provides or participates in a means of transportation that connects or leads to another 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.