Triple
T38588145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deeprun Tram to Stormwind City |
E932390
|
entity |
| Predicate | hasAchievementRelated |
P9672
|
FINISHED |
| Object | exploration achievements |
—
|
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: exploration achievements | Statement: [Deeprun Tram to Stormwind City, hasAchievementRelated, exploration achievements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAchievementRelated Context triple: [Deeprun Tram to Stormwind City, hasAchievementRelated, exploration achievements]
-
A.
associatedAchievement
chosen
Indicates a relationship where one entity is linked to, or recognized in connection with, a particular achievement.
-
B.
hasAchievements
Indicates that an entity possesses or is associated with one or more notable accomplishments, awards, or completed goals.
-
C.
hasRelatedTrophy
Indicates that there exists a trophy that is associated with, linked to, or relevant to the given entity.
-
D.
hasSubjectAchievement
Indicates that an entity has achieved, accomplished, or earned a particular subject-related goal, milestone, or recognition.
-
E.
hasAchievementType
Indicates that an achievement is classified under a specific type or category of achievement.
- 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_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:32 p.m.