Triple
T11615834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halden town centre |
E275503
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Halden town hall |
E245862
|
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: Halden town hall | Statement: [Halden town centre, hasLandmark, Halden town hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halden town hall Context triple: [Halden town centre, hasLandmark, Halden town hall]
-
A.
Halden town hall
chosen
Halden town hall is the main administrative and political center of the municipality of Halden in Norway.
-
B.
Halden town centre
Halden town centre is the historic and commercial heart of the Norwegian border town of Halden, known for its riverside setting below the Fredriksten Fortress.
-
C.
Gjøvik Town Hall
Gjøvik Town Hall is the main municipal administrative building and civic center of the town of Gjøvik in Norway.
-
D.
Øvre Eiker town hall
Øvre Eiker town hall is the main administrative and political center of the municipality of Øvre Eiker in Norway.
-
E.
Lillehammer city hall
Lillehammer city hall is the main administrative and political center of the city of Lillehammer, Norway, housing its municipal government offices and council chambers.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04675e08190837a3717242fd0f9 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a84924a0819084c43aeb7c57ac10 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:38 p.m.