Triple
T37508659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soulrender Dormazain |
E932160
|
entity |
| Predicate | encounterDifficulty |
P24163
|
FINISHED |
| Object | Normal |
—
|
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: Normal | Statement: [Soulrender Dormazain, encounterDifficulty, Normal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encounterDifficulty Context triple: [Soulrender Dormazain, encounterDifficulty, Normal]
-
A.
hasDifficultyWith
Indicates that one entity experiences problems, challenges, or lack of proficiency in dealing with, understanding, or performing something related to another entity.
-
B.
hazardEncountered
Indicates that an entity has come into contact with or been exposed to a potentially dangerous or harmful condition, object, or situation.
-
C.
hasTrailDifficulty
chosen
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
D.
encountered
Indicates that one entity came across or met another entity, typically in a specific place or context, often unexpectedly or during the course of some activity.
-
E.
hasDifficultyEffect
Indicates that one entity causes a change in the difficulty level or challenge associated with another entity or activity.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:17 p.m.