Triple
T37661521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | End Midlands |
E937726
|
entity |
| Predicate | hasDefaultDifficultyEffect |
P139133
|
FINISHED |
| Object | Enderman spawn rates scale with difficulty |
—
|
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: Enderman spawn rates scale with difficulty | Statement: [End Midlands, hasDefaultDifficultyEffect, Enderman spawn rates scale with difficulty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefaultDifficultyEffect Context triple: [End Midlands, hasDefaultDifficultyEffect, Enderman spawn rates scale with difficulty]
-
A.
hasDifficultyEffect
Indicates that one entity causes a change in the difficulty level or challenge associated with another entity or activity.
-
B.
hasDifficultyClass
Indicates that something (such as a task, challenge, or problem) is associated with a specific level of difficulty or complexity.
-
C.
hasDifficultyContext
Indicates that something’s difficulty is defined, interpreted, or constrained within a particular situational or contextual framework.
-
D.
hasRunDifficultyDistribution
Indicates that there is an associated distribution describing how difficult different runs or executions of a process or activity are.
-
E.
hasEffectText
chosen
Indicates that a subject is associated with a textual description specifying its effect or impact.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: May 3, 2026, 4:18 p.m.