Triple
T28790921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huang Wei-che |
E726948
|
entity |
| Predicate | continentOfGovernedArea |
P70311
|
FINISHED |
| Object | Asia |
—
|
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: Asia | Statement: [Huang Wei-che, continentOfGovernedArea, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfGovernedArea Context triple: [Huang Wei-che, continentOfGovernedArea, Asia]
-
A.
continentOfGovernedEntity
Indicates that a governing entity (such as a country, state, or administrative body) is located on or associated with a particular continent.
-
B.
continentOfGovernedTerritory
chosen
Indicates that a governing entity’s jurisdiction lies within a territory located on a specified continent.
-
C.
continentOfGoverningBody
Indicates the continent on which the governing body responsible for a given entity is located.
-
D.
continentOfResidence
Indicates the continent on which a given entity currently resides or is based.
-
E.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 28, 2026, 6:23 a.m.