Triple
T15762864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hemnes |
E382140
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Nesna |
E1175942
|
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: Nesna | Statement: [Hemnes, borders, Nesna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesna Context triple: [Hemnes, borders, Nesna]
-
A.
Nesna
chosen
Nesna is a small coastal municipality in Nordland county, Norway, known for its fjord landscape and island-dotted coastline along the Helgeland region.
-
B.
Nesiota
Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
-
C.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
D.
Nain
Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
-
E.
Nieste
Nieste is a small settlement located within Germany's historic Westphalia region.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998397688190a77b6a7c5b542f7e |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 4:47 a.m.