Triple
T21774916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åsgårdstrand |
E537544
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Horten |
—
|
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: Horten | Statement: [Åsgårdstrand, locatedNear, Horten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horten Context triple: [Åsgårdstrand, locatedNear, Horten]
-
A.
Horten
chosen
Horten is a coastal town and municipality in Vestfold, Norway, known for its maritime heritage, naval history, and location along the western shore of the Oslofjord.
-
B.
Horten, Norway
Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
-
C.
Hasselager
Hasselager is a residential neighborhood in the southern part of Aarhus, Denmark.
-
D.
Holsen
Holsen is a village and district of the town of Bünde in North Rhine-Westphalia, Germany.
-
E.
Dehnitz
Dehnitz is a locality within the town of Wurzen in the Free State of Saxony, Germany.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04627bd488190bbc1fde8db417b55 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:51 p.m.