Triple
T13622850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Værøy |
E325498
|
entity |
| Predicate | hasNotableViewpoint |
P42098
|
FINISHED |
| Object |
Håen
Håen is a scenic viewpoint on the island of Værøy in Norway, known for its dramatic coastal cliffs and panoramic ocean and mountain vistas.
|
E1050300
|
NE FINISHED |
How this triple was built (4 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: Håen | Statement: [Værøy, hasNotableViewpoint, Håen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Håen Context triple: [Værøy, hasNotableViewpoint, Håen]
-
A.
Trondheims-Ørn
Trondheims-Ørn is a historically dominant Norwegian women's football club renowned for its record number of top-division league titles.
-
B.
Haukeli
Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
-
C.
Henne
The Henne is a river in western Germany that flows through North Rhine-Westphalia and joins the Ruhr.
-
D.
Haukio
Haukio is a Finnish surname most notably borne by Jenni Haukio, a poet and the spouse of Finland’s president.
-
E.
Fuglset
Fuglset is a small island associated with the coastal town of Molde in western Norway.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Håen Triple: [Værøy, hasNotableViewpoint, Håen]
Generated description
Håen is a scenic viewpoint on the island of Værøy in Norway, known for its dramatic coastal cliffs and panoramic ocean and mountain vistas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Håen Target entity description: Håen is a scenic viewpoint on the island of Værøy in Norway, known for its dramatic coastal cliffs and panoramic ocean and mountain vistas.
-
A.
Trondheims-Ørn
Trondheims-Ørn is a historically dominant Norwegian women's football club renowned for its record number of top-division league titles.
-
B.
Haukeli
Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
-
C.
Henne
The Henne is a river in western Germany that flows through North Rhine-Westphalia and joins the Ruhr.
-
D.
Haukio
Haukio is a Finnish surname most notably borne by Jenni Haukio, a poet and the spouse of Finland’s president.
-
E.
Fuglset
Fuglset is a small island associated with the coastal town of Molde in western Norway.
- F. None of above. chosen
Provenance (5 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9b0b648190afee93121483f45f |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa291f48190a0ee7a228ea303bc |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f780a8f3fc8190b3fce40e2de318af |
completed | May 3, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7812aa15081909793181722f9d442 |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 9, 2026, 9:50 p.m.