Triple
T38586779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rescue from Thros, the Blighted Lands |
E932362
|
entity |
| Predicate | impactOnWorld |
P102027
|
FINISHED |
| Object | secures Kul Tiras as an Alliance ally |
—
|
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: secures Kul Tiras as an Alliance ally | Statement: [Rescue from Thros, the Blighted Lands, impactOnWorld, secures Kul Tiras as an Alliance ally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnWorld Context triple: [Rescue from Thros, the Blighted Lands, impactOnWorld, secures Kul Tiras as an Alliance ally]
-
A.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
B.
exportImpact
Indicates the effect or consequences that an entity’s exports have on another entity, system, or context.
-
C.
socialImpact
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
D.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
E.
impactOnSubject
chosen
Indicates the effect, influence, or consequence that one entity, event, or action has on a specified subject.
- 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_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 3, 2026, 4:32 p.m.