Triple
T9711769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armas Einar Leopold Lönnbohm |
E235037
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Halla |
E643193
|
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: Halla | Statement: [Armas Einar Leopold Lönnbohm, notableWork, Halla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halla Context triple: [Armas Einar Leopold Lönnbohm, notableWork, Halla]
-
A.
Halla
chosen
Halla is the whimsical, imaginary kingdom featured in Satyajit Ray’s Bengali children’s film and story "Goopy Gyne Bagha Byne."
-
B.
Overhalla
Overhalla is a rural municipality in Trøndelag county, Norway, known for its agriculture, forestry, and proximity to the town of Namsos.
-
C.
Hallunda
Hallunda is a residential suburban district in the southern Stockholm region of Sweden, known for its multicultural population and location within Botkyrka Municipality.
-
D.
Himmela
Himmela is the traditional backstage musical ensemble in Yakshagana theatre, providing the rhythmic and melodic foundation for the performance.
-
E.
Holtaness
Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0591208190aa57cc9e2aebafb7 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8c26dc8190a6fa21bde27ba6fa |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.