Triple
T3249307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen II |
E68136
|
entity |
| Predicate | setInFictionalLocation |
P18263
|
FINISHED |
| Object | 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: Arendelle | Statement: [Frozen II, setInFictionalLocation, Arendelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arendelle Context triple: [Frozen II, setInFictionalLocation, 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.
Ursvik
Ursvik is a residential district and urban area within the Stockholm region of Sweden, known for its mix of modern housing developments and proximity to green spaces.
-
C.
Toft
Toft is a location that serves as one end of the Yell Sound ferry connection in the Shetland Islands, Scotland.
-
D.
Lilyhammer
Lilyhammer is a Norwegian-American crime comedy-drama TV series about a New York mobster starting a new life in the Norwegian town of Lillehammer.
-
E.
Dannevirke
Dannevirke is a rural service town in New Zealand known for its Scandinavian heritage and farming-based economy.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf3fc3c8819080ac95974581ca0e |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2776934108190ac405ba5ebd47084 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:09 p.m.