Triple
T6563666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 蔚山 |
E153846
|
entity |
| Predicate | 港口类型 |
P6668
|
FINISHED |
| Object | 工业港口城市 |
—
|
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: 工业港口城市 | Statement: [蔚山, 港口类型, 工业港口城市]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 港口类型 Context triple: [蔚山, 港口类型, 工业港口城市]
-
A.
typeOfPortFacility
Indicates that one port facility is classified as a specific type or category of port facility in relation to another.
-
B.
berthType
Indicates the specific kind or category of berth associated with an entity, such as the type of sleeping or docking space provided.
-
C.
maritimeGatewayFor
Indicates a relationship where one location serves as the primary seaport or ocean-access point enabling maritime connectivity and trade for another location.
-
D.
harborType
chosen
Indicates the specific kind or classification of a harbor associated with an entity.
-
E.
eraOfMajorUseAsFerryTerminal
Indicates the time period during which a location was primarily used as a ferry terminal.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:52 p.m.