Triple
T7508127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hvaler archipelago |
E177444
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Papper
Papper is one of the islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
|
E668971
|
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: Papper | Statement: [Hvaler archipelago, hasIsland, Papper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papper Context triple: [Hvaler archipelago, hasIsland, Papper]
-
A.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
B.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
C.
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
-
D.
Paper Bag
"Paper Bag" is a critically acclaimed song by American singer-songwriter Fiona Apple, known for its intricate lyrics and jazz-influenced piano-driven arrangement.
-
E.
Pajaka
Pajaka is a small village in Karnataka, India, best known as the birthplace of the Dvaita Vedanta philosopher Madhvacharya and a site of religious pilgrimage.
- 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: Papper Triple: [Hvaler archipelago, hasIsland, Papper]
Generated description
Papper is one of the islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Papper Target entity description: Papper is one of the islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
-
A.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
B.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
C.
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
-
D.
Paper Bag
"Paper Bag" is a critically acclaimed song by American singer-songwriter Fiona Apple, known for its intricate lyrics and jazz-influenced piano-driven arrangement.
-
E.
Pajaka
Pajaka is a small village in Karnataka, India, best known as the birthplace of the Dvaita Vedanta philosopher Madhvacharya and a site of religious pilgrimage.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83ca56e3c81908c3bae8ad2d9ecd1 |
completed | March 28, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69c83d5884a88190a22c0fb54f9731c7 |
completed | March 28, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84071abb88190a2dadd57ff088f3d |
completed | March 28, 2026, 8:56 p.m. |
Created at: March 27, 2026, 3:45 p.m.