Triple
T13555597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimsøya |
E323763
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Hoven
Hoven is a prominent mountain peak on the island of Gimsøya in Norway’s Lofoten archipelago, known for its panoramic coastal views.
|
E1046935
|
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: Hoven | Statement: [Gimsøya, hasHighestPoint, Hoven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoven Context triple: [Gimsøya, hasHighestPoint, Hoven]
-
A.
Hont
Hont is a historical region in Central Europe, traditionally located on the territory of present-day southern Slovakia and northern Hungary.
-
B.
Hoava
Hoava is an Oceanic language spoken in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
C.
Hozat
Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
-
D.
Hudde
Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
-
E.
Hohoe
Hohoe is a town and municipal district in eastern Ghana, serving as one of the major urban and commercial centers of the Volta Region.
- 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: Hoven Triple: [Gimsøya, hasHighestPoint, Hoven]
Generated description
Hoven is a prominent mountain peak on the island of Gimsøya in Norway’s Lofoten archipelago, known for its panoramic coastal views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoven Target entity description: Hoven is a prominent mountain peak on the island of Gimsøya in Norway’s Lofoten archipelago, known for its panoramic coastal views.
-
A.
Hont
Hont is a historical region in Central Europe, traditionally located on the territory of present-day southern Slovakia and northern Hungary.
-
B.
Hoava
Hoava is an Oceanic language spoken in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
C.
Hozat
Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
-
D.
Hudde
Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
-
E.
Hohoe
Hohoe is a town and municipal district in eastern Ghana, serving as one of the major urban and commercial centers of the Volta Region.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff3063c8190bd20149b3f7df352 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da95b7c8190af4fae155f01d3af |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ffd5a088190967dae3262a22302 |
completed | May 3, 2026, 2:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f76072de148190b8911df91caa87b5 |
completed | May 3, 2026, 2:49 p.m. |
Created at: April 9, 2026, 9:47 p.m.