Triple
T6273169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Tórshavn |
E140586
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object | Havnin |
E156280
|
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: Havnin | Statement: [Port of Tórshavn, hasLocalName, Havnin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havnin Context triple: [Port of Tórshavn, hasLocalName, Havnin]
-
A.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
-
B.
Hustadvika
Hustadvika is a coastal municipality in western Norway known for its rugged shoreline and treacherous shipping waters along the Norwegian Sea.
-
C.
Ulsteinvik
Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
-
D.
Finnhamn
Finnhamn is a popular island destination in the Stockholm archipelago known for its natural scenery, guest harbor, and outdoor recreation opportunities.
-
E.
Kalsoy
chosen
Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063be5a148190a8752426d2d220f8 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e40844b48190837b75baaf8dabda |
completed | March 27, 2026, 1:57 a.m. |
Created at: March 22, 2026, 4:25 p.m.