Triple
T7644126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen franchise |
E173078
|
entity |
| Predicate | featuresLocation |
P7690
|
FINISHED |
| Object | Kingdom of Arendelle |
E173079
|
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: Kingdom of Arendelle | Statement: [Frozen franchise, featuresLocation, Kingdom of Arendelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingdom of Arendelle Context triple: [Frozen franchise, featuresLocation, Kingdom of Arendelle]
-
A.
Kingdom of Arendelle
chosen
The Kingdom of Arendelle is the fictional Nordic-inspired monarchy that serves as the primary setting of Disney’s animated film franchise Frozen.
-
B.
Aurland
Aurland is a scenic municipality in Vestland county, Norway, known for its dramatic fjord landscapes, including parts of the UNESCO-listed Nærøyfjord.
-
C.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
D.
Kingdom of Nobadia
The Kingdom of Nobadia was an early medieval Nubian Christian kingdom in Lower Nubia, centered along the Nile in what is now southern Egypt and northern Sudan.
-
E.
Eldoraigne
Eldoraigne is a suburban residential area in Centurion, South Africa, known for its family-friendly neighborhoods and proximity to major urban amenities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870d510f08190ad7706f582e8c1a0 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.