Triple
T37458601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Threes! |
E930860
|
entity |
| Predicate | hasDifficultyCurve |
P192123
|
FINISHED |
| Object | increasingly challenging as grid fills |
—
|
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: increasingly challenging as grid fills | Statement: [Threes!, hasDifficultyCurve, increasingly challenging as grid fills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifficultyCurve Context triple: [Threes!, hasDifficultyCurve, increasingly challenging as grid fills]
-
A.
hasDifficultyClass
Indicates that something (such as a task, challenge, or problem) is associated with a specific level of difficulty or complexity.
-
B.
hasDifficultyEffect
Indicates that one entity causes a change in the difficulty level or challenge associated with another entity or activity.
-
C.
hasDifficultyContext
Indicates that something’s difficulty is defined, interpreted, or constrained within a particular situational or contextual framework.
-
D.
difficultyIncreasesWith
chosen
Indicates that the level of difficulty becomes greater as the associated factor, condition, or parameter increases.
-
E.
hasDifficultyDescription
Indicates that an entity is associated with a textual description explaining its level or nature of difficulty.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
Created at: May 3, 2026, 4:17 p.m.