Triple
T23475009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nannestad |
E570237
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Holter |
—
|
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: 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.
Holter
chosen
Holter is a village in Nannestad Municipality in Viken county, Norway.
-
B.
Electrocardiogram
An electrocardiogram is a medical test that records the electrical activity of the heart to help diagnose various cardiac conditions.
-
C.
ECG
ECG is the IATA airport code for Elizabeth City Regional Airport in North Carolina, United States.
-
D.
Einthoven
Einthoven is a Dutch surname most notably associated with Willem Einthoven, the Nobel Prize–winning physiologist who invented the electrocardiogram (ECG).
-
E.
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.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a704e2a48190acb55f77a2124412 |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 6 p.m.