Triple
T2934552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadsø |
E79233
|
entity |
| Predicate | hasHarbour |
P3007
|
FINISHED |
| Object | Vadsø harbour |
E79233
|
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: Vadsø harbour | Statement: [Vadsø, hasHarbour, Vadsø harbour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vadsø harbour Context triple: [Vadsø, hasHarbour, Vadsø harbour]
-
A.
Svinesund
Svinesund is a strait forming part of the border between Norway and Sweden, best known for its bridges and role as a major road crossing between the two countries.
-
B.
Vadsø
chosen
Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
-
C.
Frederikssund
Frederikssund is a Danish town and municipality located on the island of Zealand, known for its Viking heritage and position along the Roskilde Fjord.
-
D.
Nynäshamn harbour
Nynäshamn harbour is a major Swedish port on the Baltic Sea, serving passenger ferries, cruise ships, and cargo traffic south of Stockholm.
-
E.
Solva harbour
Solva harbour is a picturesque tidal inlet and small port village on the Pembrokeshire coast of Wales, known for its colorful waterfront, coastal walks, and boating.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983c84688190aa7ed5b8091fb140 |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0867ba1b48190a54d00c32b075548 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:56 p.m.