Triple
T9828001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åna-Sira |
E238706
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Flekkefjord |
E516955
|
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: Flekkefjord | Statement: [Åna-Sira, hasNearbySettlement, Flekkefjord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flekkefjord Context triple: [Åna-Sira, hasNearbySettlement, Flekkefjord]
-
A.
Flekkefjord
chosen
Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
-
B.
Ranfjorden
Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
-
C.
Bunnefjorden
Bunnefjorden is a southern arm of the Oslofjord in southeastern Norway, known for its sheltered waters and coastal settlements.
-
D.
Hjeltefjorden
Hjeltefjorden is a coastal fjord in Vestland county, western Norway, forming an important maritime route north of Bergen between the island of Sotra and the mainland.
-
E.
Vågsfjorden
Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3268fcc8190b7a028f224512e5f |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5bc17c08190ad094def4fbf9921 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:32 p.m.