Triple
T37661791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nether Star |
E937733
|
entity |
| Predicate | relatedToDimension |
P204321
|
FINISHED |
| Object | The 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: The Nether | Statement: [Nether Star, relatedToDimension, The Nether]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToDimension Context triple: [Nether Star, relatedToDimension, The Nether]
-
A.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
C.
relatedToFeature
Indicates that there is a general association or connection between an entity and a particular feature.
-
D.
dimensionalRelation
Indicates a relationship that compares or connects entities based on their dimensions, such as size, length, width, height, or other measurable extents.
-
E.
relatedMetric
Indicates that one metric has a defined relationship or dependency with another metric.
- F. None of above. chosen
Provenance (5 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_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40ba5ab13081909a232de61d4bb53d |
completed | June 28, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.