Triple
T37872271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale of Eternal Blossoms |
E944634
|
entity |
| Predicate | laterCorruptedBy |
P54764
|
FINISHED |
| Object | Sha energies |
—
|
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: Sha energies | Statement: [Vale of Eternal Blossoms, laterCorruptedBy, Sha energies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterCorruptedBy Context triple: [Vale of Eternal Blossoms, laterCorruptedBy, Sha energies]
-
A.
isCorrupt
Indicates that an entity engages in dishonest, unethical, or illegal behavior, especially through abuse of power or position for personal gain.
-
B.
laterDamagedInPatch
Indicates that an entity was not initially damaged but became damaged at a later time during a specific patch or update.
-
C.
laterUsurpedBy
Indicates that one entity, after some time has passed, is overthrown or replaced in power, position, or authority by another entity.
-
D.
corrupts
chosen
Indicates that one entity causes another entity, system, or process to become morally, functionally, or structurally degraded or impaired.
-
E.
corruptedFormOf
Indicates that one form of an expression, word, or name is a distorted, altered, or degraded version derived from another, more original form.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a014a0b57dc8190b04ce51156ab95fa |
completed | May 11, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_6a0149afa57c8190a83257085766d916 |
completed | May 11, 2026, 3:14 a.m. |
Created at: May 3, 2026, 4:19 p.m.