Triple
T18480704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anif municipal government |
E451547
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Anif |
—
|
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: Anif | Statement: [Anif municipal government, locatedIn, Anif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anif Context triple: [Anif municipal government, locatedIn, Anif]
-
A.
Anif
chosen
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
B.
Anelesi
Anelesi are the inhabitants or natives of Anela, a town in Sardinia, Italy.
-
C.
Aninri
Aninri is a local government area in southeastern Nigeria known for its rural communities and agricultural activities within Enugu State.
-
D.
Aani
Aani is a month in the traditional Tamil calendar, typically falling around June–July in the Gregorian calendar and associated with various regional festivals and rituals.
-
E.
Anini
Anini is a remote town in the Dibang Valley district of Arunachal Pradesh in northeastern India, known for its rugged Himalayan terrain and proximity to the Dibang River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53066a7108190a50eda9b489c90ca |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:35 a.m.