Triple
T31946603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chalice Dungeons |
E815665
|
entity |
| Predicate | hasMaximumLayers |
P202264
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Chalice Dungeons, hasMaximumLayers, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumLayers Context triple: [Chalice Dungeons, hasMaximumLayers, 5]
-
A.
hasNumberOfOccupationLayers
Indicates the number of distinct occupation layers or strata associated with an entity, such as levels of use, settlement, or functional roles.
-
B.
hasMaximumThickness
Indicates that an entity possesses a specified upper limit on its thickness.
-
C.
hasMaximumDepth
Indicates that an entity possesses a greatest or limiting depth value beyond which it does not extend.
-
D.
typicalLayerCount
Indicates the usual or standard number of layers associated with an entity.
-
E.
maxTextureLayers
Indicates the maximum number of texture layers that can be applied or supported in a given rendering or material context.
- F. None of above. chosen
Provenance (4 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00694f72888190983fee7d687a6daa |
completed | May 10, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_6a00685dbf44819098ea0c86bb9e50d8 |
completed | May 10, 2026, 11:13 a.m. |
| PDg | Predicate description generation | batch_6a00694e9e008190b7c941d2f7527dff |
completed | May 10, 2026, 11:17 a.m. |
Created at: May 1, 2026, 12:06 a.m.