Triple
T15647834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volda |
E376225
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Stad |
E366558
|
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: Stad | Statement: [Volda, hasNeighbouringMunicipality, Stad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stad Context triple: [Volda, hasNeighbouringMunicipality, Stad]
-
A.
Stad
chosen
Stad is a coastal municipality and peninsula in Vestland county, Norway, known for its exposed headland and hazardous maritime waters.
-
B.
Ostan
Ostan was a historic city that served as the political and administrative center of the medieval Armenian region of Vaspurakan.
-
C.
Quadratestadt
Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
-
D.
Stierstadt
Stierstadt is a district of the town Oberursel in the Taunus region of Hesse, Germany, known for its residential character and proximity to the Frankfurt metropolitan area.
-
E.
Stansstad
Stansstad is a lakeside municipality in central Switzerland, situated on the shores of Lake Lucerne and known for its scenic setting and proximity to the Alps.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.