Triple
T23016107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Xia |
E573031
|
entity |
| Predicate | causeOfHouseArrest |
P94805
|
FINISHED |
| Object | imprisonment of her husband Liu Xiaobo |
—
|
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: imprisonment of her husband Liu Xiaobo | Statement: [Liu Xia, causeOfHouseArrest, imprisonment of her husband Liu Xiaobo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfHouseArrest Context triple: [Liu Xia, causeOfHouseArrest, imprisonment of her husband Liu Xiaobo]
-
A.
placedUnderHouseArrest
Indicates that an authority has confined an entity to a specified residence, restricting their freedom of movement as a form of legal or disciplinary control.
-
B.
hasReasonForArrest
chosen
Indicates that an arrest is associated with a specific reason or cause.
-
C.
arrestedFor
Indicates that an authority has taken someone into custody because they are suspected or accused of committing a specified offense or wrongdoing.
-
D.
causeOfLegalCondemnation
Indicates that one entity is the reason or basis for another entity being legally condemned, judged guilty, or subjected to legal penalties.
-
E.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e4dcd48190b2b1c2ab43205e41 |
completed | April 29, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.