Triple
T37459402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blingtron 3000 |
E930879
|
entity |
| Predicate | mechanicRisk |
P189392
|
FINISHED |
| Object | Can give strong weapon to opponent |
—
|
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: Can give strong weapon to opponent | Statement: [Blingtron 3000, mechanicRisk, Can give strong weapon to opponent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mechanicRisk Context triple: [Blingtron 3000, mechanicRisk, Can give strong weapon to opponent]
-
A.
mechanicTheme
Indicates a relationship where an entity serves as the theme or primary object affected in a mechanical action or process.
-
B.
mechanicalExpertise
Indicates that one entity possesses specialized knowledge or skill in understanding, operating, or repairing mechanical systems or devices in relation to another entity or context.
-
C.
associatedWithMechanic
Indicates a relationship where an entity is connected or linked to a mechanic, such as a process, rule, or functional mechanism involved in its operation or behavior.
-
D.
cargoConditionMechanic
Indicates that a mechanic assesses, maintains, or reports on the condition of cargo.
-
E.
featuresMechanic
Indicates that something includes or incorporates a particular mechanic as part of its design or functionality.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:17 p.m.