Triple
T21719573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordenskiöld Land |
E536118
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Sveagruva
Sveagruva is a former Norwegian coal mining settlement on the island of Spitsbergen in the Svalbard archipelago.
|
E1497891
|
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: Sveagruva | Statement: [Nordenskiöld Land, hasSettlement, Sveagruva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sveagruva Context triple: [Nordenskiöld Land, hasSettlement, Sveagruva]
-
A.
Sveg
Sveg is a small town in central Sweden known as an administrative and service hub in the sparsely populated province of Härjedalen.
-
B.
Brangäne
Brangäne is a loyal confidante and maid to Isolde in Richard Wagner’s opera "Tristan und Isolde," known for her protective role and the fateful substitution of a love potion.
-
C.
Granavollen
Granavollen is a historic village in Innlandet county, Norway, known for its medieval Sister Churches and role as a cultural and religious center in the Gran area.
-
D.
Turtagrø
Turtagrø is a mountain hotel and popular base for hiking and climbing in the Hurrungane range in western Norway.
-
E.
Givlaari
Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
- 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: Sveagruva Triple: [Nordenskiöld Land, hasSettlement, Sveagruva]
Generated description
Sveagruva is a former Norwegian coal mining settlement on the island of Spitsbergen in the Svalbard archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sveagruva Target entity description: Sveagruva is a former Norwegian coal mining settlement on the island of Spitsbergen in the Svalbard archipelago.
-
A.
Sveg
Sveg is a small town in central Sweden known as an administrative and service hub in the sparsely populated province of Härjedalen.
-
B.
Brangäne
Brangäne is a loyal confidante and maid to Isolde in Richard Wagner’s opera "Tristan und Isolde," known for her protective role and the fateful substitution of a love potion.
-
C.
Granavollen
Granavollen is a historic village in Innlandet county, Norway, known for its medieval Sister Churches and role as a cultural and religious center in the Gran area.
-
D.
Turtagrø
Turtagrø is a mountain hotel and popular base for hiking and climbing in the Hurrungane range in western Norway.
-
E.
Givlaari
Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96de818819084c268d4775a8e3a |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24b79c108190af57665372a88c2c |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a2698fb408190b0ad72d4fdb74ded |
completed | May 17, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a274893d8819084c55439fe1eb686 |
completed | May 17, 2026, 8:38 p.m. |
Created at: April 16, 2026, 6:47 p.m.