Triple
T5576371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suðuroy |
E146327
|
entity |
| Predicate | hasFerryPort |
P15716
|
FINISHED |
| Object | Tvøroyri |
E555521
|
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: Tvøroyri | Statement: [Suðuroy, hasFerryPort, Tvøroyri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tvøroyri Context triple: [Suðuroy, hasFerryPort, Tvøroyri]
-
A.
Tvøroyri
chosen
Tvøroyri is a town on the island of Suðuroy in the Faroe Islands, known as an important local fishing and administrative center.
-
B.
Leirvík
Leirvík is a coastal village and important fishing community on the Faroe Islands, located on the island of Eysturoy.
-
C.
Æðuvík
Æðuvík is a small coastal village on the Faroe Islands’ island of Eysturoy, known for its scenic seaside setting and traditional Faroese character.
-
D.
Hafnarfjörður
Hafnarfjörður is a port town in southwestern Iceland known for its lava-field setting, fishing industry, and role as part of the Reykjavík metropolitan area.
-
E.
Øravík
Øravík is a small village on the Faroe Islands' southernmost island of Suðuroy, known for its coastal setting and traditional Faroese character.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020697fbc8190bd084d7896db3ab8 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11c9026fc8190abb0fb3e71d5639f |
completed | March 23, 2026, 10:57 a.m. |
Created at: March 22, 2026, 3:37 p.m.