Triple
T38591544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruins of Ahn'Qiraj |
E932464
|
entity |
| Predicate | introducedWithEvent |
P32615
|
FINISHED |
| Object | Ahn'Qiraj War Effort |
—
|
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: Ahn'Qiraj War Effort | Statement: [Ruins of Ahn'Qiraj, introducedWithEvent, Ahn'Qiraj War Effort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedWithEvent Context triple: [Ruins of Ahn'Qiraj, introducedWithEvent, Ahn'Qiraj War Effort]
-
A.
introducedEvent
Indicates that an entity is responsible for bringing an event into existence or initiating it for the first time.
-
B.
introducedForEventType
Indicates that something was first created, implemented, or made available specifically in connection with a particular type of event.
-
C.
introducedEventType
Indicates that an entity is responsible for bringing a particular type of event into existence or initiating its occurrence.
-
D.
introducedAlongWith
chosen
Indicates that one entity was introduced or presented at the same time as another entity, as part of a joint or concurrent introduction.
-
E.
introducedForEventInCountry
Indicates that something was introduced specifically for an event that took place in a particular country.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 3, 2026, 4:32 p.m.