Triple
T37768100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang |
E941469
|
entity |
| Predicate | trapClass |
P31461
|
FINISHED |
| Object | Undead element trap |
—
|
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: Undead element trap | Statement: [Wolfgang, trapClass, Undead element trap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trapClass Context triple: [Wolfgang, trapClass, Undead element trap]
-
A.
trapLocation
Indicates the specific place or area where a trap is set, located, or expected to be found.
-
B.
trapType
chosen
Indicates the specific kind or category of trap associated with an entity or situation.
-
C.
catchStyle
Indicates the manner or technique with which something is caught (e.g., how an object, ball, or entity is captured or received).
-
D.
trap
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
-
E.
trapNumber
Indicates that an entity is identified as, or associated with, a specific trap number within a system or context.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf1b9fa48190b1f015c13060f925 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.