Triple
T6779637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nao de China route |
E155646
|
entity |
| Predicate | carriedFromAsia |
P33652
|
FINISHED |
| Object | Chinese goods |
—
|
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: Chinese goods | Statement: [Nao de China route, carriedFromAsia, Chinese goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedFromAsia Context triple: [Nao de China route, carriedFromAsia, Chinese goods]
-
A.
carriedFrom
chosen
Indicates that something was transported or moved away starting from a specified source location or origin.
-
B.
carriedTo
Indicates that one entity transported or conveyed another entity from one place to another.
-
C.
seaToSoutheast
Indicates that one entity is located to the southeast of a sea relative to another reference point or region.
-
D.
foundedInSubcontinent
Indicates that an entity was founded or established within a specific geographic subcontinent.
-
E.
circulationInAsia
Indicates that something is distributed, present, or actively moving within regions of Asia.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26a1634819099b8a3b3196a306a |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.