Triple
T22641323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogndal |
E558832
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Ogndaling |
—
|
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: Ogndaling | Statement: [Ogndal, demonym, Ogndaling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogndaling Context triple: [Ogndal, demonym, Ogndaling]
-
A.
Övdalian
Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
-
B.
Undredal
Undredal is a small, picturesque Norwegian village famed for its fjordside setting, traditional goat cheese production, and one of the world’s smallest stave churches.
-
C.
Ogndal
chosen
Ogndal was a former rural municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
-
D.
Vadtal
Vadtal is a town in Gujarat, India, known as an important pilgrimage center of the Swaminarayan Sampradaya and the site of a major Swaminarayan temple.
-
E.
Dælenenga
Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170116fe881908178cffef26e3ae7 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.