Triple
T20688097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunitz House Bridge |
E508474
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Kunitz |
—
|
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: Kunitz | Statement: [Kunitz House Bridge, district, Kunitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunitz Context triple: [Kunitz House Bridge, district, Kunitz]
-
A.
Kunitz
chosen
Kunitz is a locality known for the historic Kunitz House Bridge situated there.
-
B.
Gribskov
Gribskov is one of Denmark’s largest and oldest forests, known for its diverse woodland landscapes, rich wildlife, and extensive network of walking and cycling trails.
-
C.
Behring
Behring is a German surname most notably associated with Emil Adolf von Behring, the pioneering physiologist and first Nobel laureate in Physiology or Medicine for his work on serum therapy.
-
D.
Kuveiller
Kuveiller is an Italian surname most notably borne by Luigi Kuveiller, a renowned cinematographer known for his work in European cinema.
-
E.
Levitch
Levitch is the family surname of the famed American comedian, actor, and filmmaker Jerry Lewis.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beaddfe88190897b8963fa8b2245 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.