Triple
T9448131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Tangshan |
E227816
|
entity |
| Predicate | supportsZone |
P6793
|
FINISHED |
| Object | Caofeidian industrial zone |
—
|
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: Caofeidian industrial zone | Statement: [Port of Tangshan, supportsZone, Caofeidian industrial zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsZone Context triple: [Port of Tangshan, supportsZone, Caofeidian industrial zone]
-
A.
supportsZoneSystem
Indicates that one entity provides compatibility with or implementation of a specific zone-based system used by another entity.
-
B.
supportsRegion
Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
-
C.
hasZone
chosen
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
D.
supportsStubAreas
Indicates that one entity provides compatibility or functionality for handling stub areas associated with another entity.
-
E.
supportsClubRegion
Indicates that an entity provides backing, resources, or endorsement to a club associated with a particular geographic region.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f62dfa48190bf318777d97f0f2a |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:51 p.m.