Triple
T11484123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天河区 |
E272229
|
entity |
| Predicate | 交通设施 |
P25244
|
FINISHED |
| Object | 广州东站 |
—
|
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: 广州东站 | Statement: [天河区, 交通设施, 广州东站]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 交通设施 Context triple: [天河区, 交通设施, 广州东站]
-
A.
shareTransportInfrastructure
Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
-
B.
typeOfTransportInfrastructure
Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
-
C.
operatorOfTransportInfrastructure
Indicates that an entity operates, manages, or runs a specific piece of transport infrastructure.
-
D.
transportationFacility
chosen
Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to another entity.
-
E.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1ea00c8190b42cdc13a6bc61c3 |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.