Triple
T22210208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wai-Tung Gao |
E548921
|
entity |
| Predicate | hasResidenceStatus |
P32548
|
FINISHED |
| Object | immigrant |
—
|
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: immigrant | Statement: [Wai-Tung Gao, hasResidenceStatus, immigrant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidenceStatus Context triple: [Wai-Tung Gao, hasResidenceStatus, immigrant]
-
A.
residenceStatus
Indicates the type or condition of an entity’s living arrangement or place of residence in relation to a specified location.
-
B.
residencyStatus
chosen
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
C.
hasCanonicalResidence
Indicates that an entity has an officially recognized primary place of residence or domicile.
-
D.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
E.
hasResidenceOn
Indicates that one entity’s place of residence is located on or along another entity, such as a street, road, or other linear feature.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2aefb881909bddbabd4be0bd58 |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.