Triple
T8593391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moomin |
E203484
|
entity |
| Predicate | hasSetting |
P3538
|
FINISHED |
| Object | Moominvalley |
E203484
|
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: Moominvalley | Statement: [Moomin, hasSetting, Moominvalley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moominvalley Context triple: [Moomin, hasSetting, Moominvalley]
-
A.
Moomin
chosen
Moomin is a beloved series of Finnish-Swedish illustrated books and comic strips featuring gentle, troll-like creatures living in Moominvalley, created by author and artist Tove Jansson.
-
B.
Otterberg
Otterberg is a small historic town in the Rhineland-Palatinate region of western Germany, known for its former Cistercian abbey and medieval architecture.
-
C.
Lomme
Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
-
D.
Petitenget
Petitenget is a trendy coastal neighborhood in Bali, Indonesia, known for its upscale beach clubs, boutique hotels, and vibrant dining scene near Seminyak.
-
E.
Mollymook
Mollymook is a coastal town on the New South Wales South Coast of Australia, known for its popular surf beach and holiday accommodation.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4668b49481908838579e9876c1ec |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8becbd88190837478e302d5e5b4 |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:23 p.m.