Triple
T7657796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helsingborg |
E173429
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Rådhuset |
E310305
|
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: Rådhuset | Statement: [Helsingborg, hasLandmark, Rådhuset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rådhuset Context triple: [Helsingborg, hasLandmark, Rådhuset]
-
A.
Rådhuset
chosen
Rådhuset is a Stockholm metro station on Kungsholmen, known for its cavern-like, exposed bedrock design and striking red interior.
-
B.
Medborgarhuset
Medborgarhuset is a prominent public building and cultural center in Stockholm known for its library, swimming hall, and community facilities.
-
C.
Odense City Hall
Odense City Hall is a historic municipal building in the Danish city of Odense, known for its distinctive red-brick architecture and central role in the city’s civic life.
-
D.
Hillerød Town Hall
Hillerød Town Hall is the main municipal building and administrative center of the town of Hillerød in Denmark.
-
E.
Christiansborg Palace
Christiansborg Palace is a historic government complex in central Copenhagen that houses the Danish Parliament, the Supreme Court, and the Prime Minister’s Office.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7019161548190855a5b1e9f5d7e99 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b0d345081909a1d4475fa3876f5 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:59 p.m.