Triple
T16624845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ordered experiments with Dark Eco on Jak |
E403918
|
entity |
| Predicate | involvesPowerType |
P123612
|
FINISHED |
| Object | Dark Eco corruption |
—
|
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: Dark Eco corruption | Statement: [ordered experiments with Dark Eco on Jak, involvesPowerType, Dark Eco corruption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesPowerType Context triple: [ordered experiments with Dark Eco on Jak, involvesPowerType, Dark Eco corruption]
-
A.
involvesPower
Indicates that the relationship or action includes the use, exercise, transfer, or influence of power or authority between the entities involved.
-
B.
involvedPower
Indicates that a particular power, authority, or state is a participant or actor in the referenced event, situation, or relationship.
-
C.
powersType
Indicates that one entity has a specific type or category of power or ability in relation to another entity.
-
D.
usesPowerType
Indicates that one entity operates or functions by means of a specified type or source of power.
-
E.
usesPowerFor
Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37551cd888190becc21deba87980d |
completed | April 18, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.