Triple
T5748247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dueodde |
E126784
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Nexø |
E126783
|
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: Nexø | Statement: [Dueodde, hasNearbySettlement, Nexø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nexø Context triple: [Dueodde, hasNearbySettlement, Nexø]
-
A.
Nexø
chosen
Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
-
B.
Morten
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
-
C.
Jacob Vaark
Jacob Vaark is a 17th-century Anglo-Dutch farmer and landowner in Toni Morrison’s novel "A Mercy," whose experiences reflect the brutal complexities of early American colonialism and slavery.
-
D.
Tyge
Tyge is the original Danish given name of the renowned 16th-century astronomer Tycho Brahe.
-
E.
Johan
Johan is the given first name of the Swedish playwright and novelist August Strindberg.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02887496c8190b1b9c8dda0d561ef |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e30fe98819096ad6e09fbd463b5 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.