Triple
T19036221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindesnes municipality |
E465878
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Mandal |
—
|
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: Mandal | Statement: [Lindesnes municipality, hasSettlement, Mandal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandal Context triple: [Lindesnes municipality, hasSettlement, Mandal]
-
A.
Mandal
chosen
Mandal is a coastal town in southern Norway known for its sandy beaches, historic wooden houses, and maritime heritage.
-
B.
Mandali
Mandali is a town in eastern Iraq near the Iranian border, located within the Diyala Governorate and known for its ethnically diverse population and agricultural surroundings.
-
C.
Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
-
D.
Teramani
Teramani are the inhabitants or natives of the Italian city of Teramo, located in the Abruzzo region.
-
E.
Maralik
Maralik is a small town in northwestern Armenia known for its agricultural surroundings and location within the Shirak region.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7438f748190912c28912e6b97a6 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.