Triple
T15289946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Náströnd |
E365499
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Nastrond
Nastrond is a grim region of the underworld in Norse mythology, described as a shore of corpses where oath-breakers and the wicked are punished.
|
E1147877
|
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: Nastrond | Statement: [Náströnd, hasVariantSpelling, Nastrond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nastrond Context triple: [Náströnd, hasVariantSpelling, Nastrond]
-
A.
Halanzy
Halanzy is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
-
B.
Neheim
Neheim is a district of the city of Arnsberg in North Rhine-Westphalia, Germany, known historically for its lighting industry and location in the Ruhr region.
-
C.
Atzerodt
Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
-
D.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
-
E.
Hamren
Hamren is a town in the Indian state of Assam that serves as the main administrative and service center for the surrounding West Karbi Anglong 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: Nastrond Triple: [Náströnd, hasVariantSpelling, Nastrond]
Generated description
Nastrond is a grim region of the underworld in Norse mythology, described as a shore of corpses where oath-breakers and the wicked are punished.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nastrond Target entity description: Nastrond is a grim region of the underworld in Norse mythology, described as a shore of corpses where oath-breakers and the wicked are punished.
-
A.
Halanzy
Halanzy is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
-
B.
Neheim
Neheim is a district of the city of Arnsberg in North Rhine-Westphalia, Germany, known historically for its lighting industry and location in the Ruhr region.
-
C.
Atzerodt
Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
-
D.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
-
E.
Hamren
Hamren is a town in the Indian state of Assam that serves as the main administrative and service center for the surrounding West Karbi Anglong 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7d4da4819080f101c3a525ea11 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef050d1588190942e1d3f3083607a |
completed | May 9, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef19d55588190b816d4c37f3a7010 |
completed | May 9, 2026, 8:34 a.m. |
Created at: April 10, 2026, 3:15 a.m.