Triple
T35482032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady of Winterfell |
E1025493
|
entity |
| Predicate | fictionalLocationOfAuthority |
P199035
|
FINISHED |
| Object | Winterfell godswood |
—
|
NE NERFINISHED |
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: Winterfell godswood | Statement: [Lady of Winterfell, fictionalLocationOfAuthority, Winterfell godswood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalLocationOfAuthority Context triple: [Lady of Winterfell, fictionalLocationOfAuthority, Winterfell godswood]
-
A.
fictionalLocationGoverned
Indicates that a fictional location is under the authority, control, or administration of a particular governing entity within a narrative or imagined setting.
-
B.
fictionalHeadquartersLocation
Indicates the place where a fictional organization, group, or entity is based or has its main headquarters within a fictional context.
-
C.
fictionalPlaceType
Indicates that a place is a fictional location and specifies what type or category of fictional place it is.
-
D.
fictionalCountryLocation
Indicates that a fictional country is located within, or geographically associated with, a specified place or region.
-
E.
fictionalCapital
Indicates that a location serves as the capital city within a fictional or imaginary political or geographic entity.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69ff1ba7494481908678a7a0f93dbd03 |
completed | May 9, 2026, 11:33 a.m. |
Created at: May 3, 2026, 4:04 p.m.