Triple
T38590005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neltharion's Tear |
E932431
|
entity |
| Predicate | requiredLevel |
P189056
|
FINISHED |
| Object | 60 |
—
|
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: 60 | Statement: [Neltharion's Tear, requiredLevel, 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiredLevel Context triple: [Neltharion's Tear, requiredLevel, 60]
-
A.
levelRequirement
chosen
Indicates that one entity specifies the minimum level or threshold another entity must meet in order for an action, access, or condition to be valid.
-
B.
requiresLevelRange
Indicates that something is only applicable, accessible, or valid for entities whose level falls within a specified minimum-to-maximum range.
-
C.
requiresSkillLevel
Indicates that performing or engaging in something depends on possessing at least a specified level of skill.
-
D.
requiresSubjectsAtLevel
Indicates that an entity depends on other subjects being present or qualified at a specified level in order for a condition, action, or state to be valid or achievable.
-
E.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
- 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_6a00c3362dcc819096e49b882709fddd |
completed | May 10, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_6a00c2e5cdd88190a5f2d0f6a843cd56 |
completed | May 10, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4:32 p.m.