Triple
T7789135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Læsø |
E187329
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Vesterø Havn |
E693562
|
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: Vesterø Havn | Statement: [Læsø, hasPort, Vesterø Havn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vesterø Havn Context triple: [Læsø, hasPort, Vesterø Havn]
-
A.
Vesterø Havn
chosen
Vesterø Havn is a small coastal village and ferry port on the Danish island of Læsø in the Kattegat.
-
B.
Svaneke Harbor
Svaneke Harbor is a small, picturesque coastal harbor in the town of Svaneke on the Danish island of Bornholm, known for its historic charm and maritime atmosphere.
-
C.
Frederikshavn Harbour
Frederikshavn Harbour is a major commercial and ferry port in the town of Frederikshavn in northern Denmark, serving as an important maritime hub for traffic across the Kattegat and to Norway and Sweden.
-
D.
Ennore Port
Ennore Port, now known as Kamarajar Port, is a major all-weather, coal-handling seaport located near Chennai on the eastern coast of India.
-
E.
Tønsberg harbor
Tønsberg harbor is a historic waterfront area in Norway’s oldest town, known for its marina, coastal views, and vibrant mix of maritime, cultural, and leisure activities.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e8a0d08190b6d4ca560681eb35 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb59f230d48190ad4cb08e9e73f19e |
completed | March 31, 2026, 5:21 a.m. |
Created at: March 30, 2026, 4:25 p.m.