Triple
T16731476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siku Quanshu |
E406601
|
entity |
| Predicate | excludedWorks |
P124419
|
FINISHED |
| Object | banned or destroyed for political reasons |
—
|
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: banned or destroyed for political reasons | Statement: [Siku Quanshu, excludedWorks, banned or destroyed for political reasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludedWorks Context triple: [Siku Quanshu, excludedWorks, banned or destroyed for political reasons]
-
A.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
-
B.
excludes
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
C.
excludesArtist
Indicates that a given entity explicitly omits or does not include a specified artist within its scope, membership, or content.
-
D.
excludesAward
Indicates that one entity explicitly omits or disqualifies another entity from receiving a particular award.
-
E.
excludedPractice
Indicates that a particular practice, behavior, or activity is explicitly not allowed, permitted, or covered within a given context or agreement.
- F. None of above. chosen
Provenance (4 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:20 a.m.