Triple
T37551222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onyxia's Lair (level 80 version) |
E933593
|
entity |
| Predicate | mountDrop |
P188722
|
FINISHED |
| Object | Onyxian Drake |
—
|
NE NERFINISHED |
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: Onyxian Drake | Statement: [Onyxia's Lair (level 80 version), mountDrop, Onyxian Drake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountDrop Context triple: [Onyxia's Lair (level 80 version), mountDrop, Onyxian Drake]
-
A.
mountOption
Indicates that a particular configuration option is applied when mounting a filesystem, device, or resource.
-
B.
mountType
Indicates the manner or configuration in which one object is mounted or attached to another.
-
C.
dropSource
Indicates that an entity serves as the origin or starting point from which something is dropped, released, or caused to fall.
-
D.
mountSystem
Indicates attaching a filesystem or storage resource to a system so that it becomes accessible for use.
-
E.
mountOptionOf
Indicates that a specified mount option is associated with, or applies to, a particular filesystem mount.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.