Triple
T26897142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eternal winter |
E677925
|
entity |
| Predicate | affectsLocation |
P89454
|
FINISHED |
| Object | Arendelle |
—
|
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: Arendelle | Statement: [Eternal winter, affectsLocation, Arendelle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsLocation Context triple: [Eternal winter, affectsLocation, Arendelle]
-
A.
affectsAnatomicalLocation
Indicates that one entity produces an effect on, or has an impact at, a specific anatomical location.
-
B.
affectsDistrict
Indicates that one entity produces an influence, impact, or change on a particular district.
-
C.
hasLocalImpact
chosen
Indicates that an entity produces effects or consequences within a specific local area or community.
-
D.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- F. None of above.
Provenance (3 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 5:48 a.m.