Triple
T37551609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pit of Saron |
E933601
|
entity |
| Predicate | mountDropSource |
P85620
|
FINISHED |
| Object | Blue Drake (Heroic, cache event) |
—
|
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: Blue Drake (Heroic, cache event) | Statement: [Pit of Saron, mountDropSource, Blue Drake (Heroic, cache event)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountDropSource Context triple: [Pit of Saron, mountDropSource, Blue Drake (Heroic, cache event)]
-
A.
mountDrop
Indicates that an entity dismounts or releases another entity or object from being mounted or attached.
-
B.
dropSource
Indicates that an entity serves as the origin or starting point from which something is dropped, released, or caused to fall.
-
C.
dragType
Indicates the manner or category of dragging interaction that occurs between entities.
-
D.
dropSourceType
Indicates the type or origin category of a source from which something is dropped or removed.
-
E.
mountOrigin
chosen
Indicates the original source or location from which something is mounted or attached.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.