Triple
T35012952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skaven |
E1009979
|
entity |
| Predicate | countryInLore |
P203539
|
FINISHED |
| Object | Hammerfell |
E308894
|
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: Hammerfell | Statement: [Skaven, countryInLore, Hammerfell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryInLore Context triple: [Skaven, countryInLore, Hammerfell]
-
A.
countryOfFolklore
Indicates the country with which a particular piece or tradition of folklore is associated or from which it originates.
-
B.
nationalityOfFictionalSetting
Indicates that a fictional setting is associated with, or belongs to, a particular nationality or country.
-
C.
culturalRegionOfLore
Indicates that a particular cultural region is the primary setting, origin, or contextual background for a given body of lore or tradition.
-
D.
countryOfHeroicFigure
Indicates the country with which a heroic figure is primarily associated or from which they originate.
-
E.
countryOfFictionalContext
Indicates that a work of fiction is primarily set in, or contextually associated with, a particular country.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a019dfc69fc8190b0d80279a6216ba7 |
completed | May 11, 2026, 9:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a382c9b2358819082e88577f0c96fbc |
completed | June 21, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a019d54586c81908292d4880db9fad2 |
completed | May 11, 2026, 9:11 a.m. |
| PDg | Predicate description generation | batch_6a019dfba430819089f5609d89fbb7d9 |
completed | May 11, 2026, 9:14 a.m. |
Created at: May 3, 2026, 4:01 p.m.