Triple
T15578949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slipice |
E374442
|
entity |
| Predicate | threatLevelInGame |
P27859
|
FINISHED |
| Object | environmental hazard |
—
|
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: environmental hazard | Statement: [Slipice, threatLevelInGame, environmental hazard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatLevelInGame Context triple: [Slipice, threatLevelInGame, environmental hazard]
-
A.
threatLevelDescription
Indicates a textual description that characterizes the severity or nature of a threat level associated with an entity or situation.
-
B.
threatTypeEngaged
Indicates that an entity has actively engaged with or responded to a specific type of threat.
-
C.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
D.
threatCategory
Indicates the classification of a threat according to its type, severity, or nature within a defined risk or security framework.
-
E.
threatStatus
chosen
Indicates the level or category of risk or danger posed by one entity to another or to a defined system or environment.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.