Triple
T36963646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Addermire Institute |
E914369
|
entity |
| Predicate | hasLoreItemType |
P200172
|
FINISHED |
| Object | journals |
—
|
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: journals | Statement: [Addermire Institute, hasLoreItemType, journals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoreItemType Context triple: [Addermire Institute, hasLoreItemType, journals]
-
A.
hasLoreContext
Indicates that something is associated with or situated within a particular narrative, historical, or fictional background or storyline.
-
B.
hasMagicItem
Indicates that an entity possesses or is associated with a magical item.
-
C.
canBeEnchantedWith
Indicates that an entity is capable of receiving or being affected by a specified enchantment.
-
D.
hasHeirloom
Indicates that one entity possesses or is associated with an heirloom originating from another entity.
-
E.
materialInLore
Indicates that a material is referenced, described, or plays a role within a body of lore or fictional/worldbuilding 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
| PDg | Predicate description generation | batch_69ff795c702c8190b00844407f2882af |
completed | May 9, 2026, 6:13 p.m. |
Created at: May 3, 2026, 4:14 p.m.