Triple
T2557125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minecraft |
E56751
|
entity |
| Predicate | hasDimension |
P3645
|
FINISHED |
| Object | Nether |
E277070
|
NE 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: Nether | Statement: [Minecraft, hasDimension, Nether]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nether Context triple: [Minecraft, hasDimension, Nether]
-
A.
Nether
chosen
The Nether is a hellish, lava-filled dimension in Minecraft featuring dangerous mobs, unique resources, and challenging terrain.
-
B.
Nether Booth
Nether Booth is a small rural hamlet in the Peak District of Derbyshire, England, known for its scenic valley setting near Edale and popular walking routes.
-
C.
Nether Fortress
A Nether Fortress is a large, naturally generated stronghold in Minecraft’s Nether dimension, built of dark bricks and home to dangerous mobs and valuable loot.
-
D.
Tartarus
Tartarus is the deep, gloomy abyss in Greek mythology used as a dungeon of torment and imprisonment for the Titans and other divine enemies.
-
E.
Gregory Rift
Gregory Rift is a major segment of the East African Rift system in Kenya and northern Tanzania, characterized by prominent volcanic activity and deep tectonic valleys.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd310b3a48190b275be13eb050e57 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655f72fc81908a85a69f95d0b827 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.