Triple
T11542273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icecrown Citadel |
E273700
|
entity |
| Predicate | hasDifficultyMode |
P98721
|
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: [Icecrown Citadel, hasDifficultyMode, Normal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifficultyMode Context triple: [Icecrown Citadel, hasDifficultyMode, Normal]
-
A.
difficultyModes
chosen
Indicates the different levels of challenge or complexity available for performing a task, activity, or process.
-
B.
difficultyOption
Indicates a relationship where a particular option specifies or represents a level of difficulty for something (e.g., a task, question, or activity).
-
C.
hasMeasurementDifficulty
Indicates that performing a measurement on something is challenging or problematic in some way.
-
D.
hasComplexity
Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
-
E.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.