Triple
T17088087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skudeneshavn |
E414652
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Old Skudeneshavn |
E414652
|
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: Old Skudeneshavn | Statement: [Skudeneshavn, hasPart, Old Skudeneshavn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Skudeneshavn Context triple: [Skudeneshavn, hasPart, Old Skudeneshavn]
-
A.
Skudeneshavn
chosen
Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
-
B.
Svelvik
Svelvik is a small coastal town and former municipality in Vestfold og Telemark county, Norway, situated along the Drammensfjord.
-
C.
Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
-
D.
Norheimsund
Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
-
E.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0141422d6c819086dc98988c0851d9 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 5:35 a.m.