Triple
T10428318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nannestad |
E245842
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Holter
Holter is a village in Nannestad Municipality in Viken county, Norway.
|
E862686
|
NE FINISHED |
How this triple was built (4 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: Holter | Statement: [Nannestad, hasSettlement, Holter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holter Context triple: [Nannestad, hasSettlement, Holter]
-
A.
Electrocardiogram
An electrocardiogram is a medical test that records the electrical activity of the heart to help diagnose various cardiac conditions.
-
B.
Einthoven
Einthoven is a Dutch surname most notably associated with Willem Einthoven, the Nobel Prize–winning physiologist who invented the electrocardiogram (ECG).
-
C.
E-meter
The E-meter is an electronic device used in Scientology auditing sessions, claimed to measure changes in a person's mental or spiritual state by monitoring electrical resistance in the body.
-
D.
Einthoven triangle
The Einthoven triangle is a conceptual model in electrocardiography that represents the heart’s electrical activity using three limb leads arranged as an equilateral triangle around the torso.
-
E.
Acclarent
Acclarent is a medical device company specializing in minimally invasive ear, nose, and throat (ENT) technologies and solutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Holter Triple: [Nannestad, hasSettlement, Holter]
Generated description
Holter is a village in Nannestad Municipality in Viken county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holter Target entity description: Holter is a village in Nannestad Municipality in Viken county, Norway.
-
A.
Electrocardiogram
An electrocardiogram is a medical test that records the electrical activity of the heart to help diagnose various cardiac conditions.
-
B.
Einthoven
Einthoven is a Dutch surname most notably associated with Willem Einthoven, the Nobel Prize–winning physiologist who invented the electrocardiogram (ECG).
-
C.
E-meter
The E-meter is an electronic device used in Scientology auditing sessions, claimed to measure changes in a person's mental or spiritual state by monitoring electrical resistance in the body.
-
D.
Einthoven triangle
The Einthoven triangle is a conceptual model in electrocardiography that represents the heart’s electrical activity using three limb leads arranged as an equilateral triangle around the torso.
-
E.
Acclarent
Acclarent is a medical device company specializing in minimally invasive ear, nose, and throat (ENT) technologies and solutions.
- F. None of above. chosen
Provenance (5 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2d54048190b25f4d168a75ad3a |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d85a00e7f48190bf87ce9d04acc750 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:13 p.m.