Triple
T31347972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangshan Port Group |
E799501
|
entity |
| Predicate | operatesPortArea |
P64085
|
FINISHED |
| Object | Caofeidian Port Area |
—
|
NE NERFINISHED |
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: Caofeidian Port Area | Statement: [Tangshan Port Group, operatesPortArea, Caofeidian Port Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesPortArea Context triple: [Tangshan Port Group, operatesPortArea, Caofeidian Port Area]
-
A.
hasPortArea
chosen
Indicates that an entity possesses or is associated with a specific port area, typically representing the spatial extent or boundary of its port facilities.
-
B.
portTypeOperated
Indicates that one entity operates, manages, or runs the specified type of port associated with another entity.
-
C.
operatedToArea
Indicates that an operation or service is directed or applied to a particular area or region.
-
D.
operatedPortionsOf
Indicates that an agent has performed operational control or management over specific parts or segments of a larger system, asset, or entity.
-
E.
operatedDock
Indicates that an entity managed or controlled the functioning of a dock or docking facility.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: April 29, 2026, 9:17 p.m.