Triple
T19230048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jomsborg |
E480844
|
entity |
| Predicate | mentionedAs |
P26173
|
FINISHED |
| Object |
Julin
Julin is a legendary medieval Baltic port city often identified with the Viking stronghold of Jomsborg in historical and saga traditions.
|
E1365027
|
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: Julin | Statement: [Jomsborg, mentionedAs, Julin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julin Context triple: [Jomsborg, mentionedAs, Julin]
-
A.
Jula
Jula is a major Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
-
B.
Jule
Jule is a given name most notably associated with Jule Gregory Charney, a pioneering American meteorologist and one of the founders of modern numerical weather prediction.
-
C.
Julayi
Julayi is a 2012 Telugu-language action comedy film starring Allu Arjun, known for its blend of high-energy entertainment, stylish action, and commercial success.
-
D.
Julanne
Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
-
E.
Juli
Juli is a town in southern Peru that serves as an administrative and historical center on the shores of Lake Titicaca.
- 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: Julin Triple: [Jomsborg, mentionedAs, Julin]
Generated description
Julin is a legendary medieval Baltic port city often identified with the Viking stronghold of Jomsborg in historical and saga traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julin Target entity description: Julin is a legendary medieval Baltic port city often identified with the Viking stronghold of Jomsborg in historical and saga traditions.
-
A.
Jula
Jula is a major Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
-
B.
Jule
Jule is a given name most notably associated with Jule Gregory Charney, a pioneering American meteorologist and one of the founders of modern numerical weather prediction.
-
C.
Julayi
Julayi is a 2012 Telugu-language action comedy film starring Allu Arjun, known for its blend of high-energy entertainment, stylish action, and commercial success.
-
D.
Julanne
Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
-
E.
Juli
Juli is a town in southern Peru that serves as an administrative and historical center on the shores of Lake Titicaca.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9be0d08190afe6040e0cf9c737 |
completed | April 20, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700f303fc8190b8acd9bbc0b6093d |
completed | May 15, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_6a07020e89c48190a61674ad9b2c410f |
completed | May 15, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07028efca08190aefa43f5fe8e595a |
completed | May 15, 2026, 11:25 a.m. |
Created at: April 10, 2026, 1:25 p.m.