Triple
T17732022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namdalen |
E442609
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lierne |
E592933
|
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: Lierne | Statement: [Namdalen, hasPart, Lierne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lierne Context triple: [Namdalen, hasPart, Lierne]
-
A.
Lierne
chosen
Lierne is a sparsely populated municipality in Trøndelag county, Norway, known for its vast wilderness areas, national parks, and rich wildlife.
-
B.
Lierna
Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
-
C.
Selybria
Selybria is an ancient city of historical significance located in the region of Thrace, near the coast of the Sea of Marmara.
-
D.
Laer
Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
-
E.
Leunovo
Leunovo is a small village located in the mountainous Mavrovo region of North Macedonia, known for its natural scenery and proximity to Mavrovo National Park.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e7773081909dadb90ff5cb0906 |
completed | April 19, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efaf24d48190a535eba40ae33443 |
completed | May 12, 2026, 9:15 a.m. |
Created at: April 10, 2026, 10:08 a.m.