Triple
T13418146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E10 |
E313266
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Kalix
Kalix is a small coastal town in northern Sweden known for its location along the Kalix River near the Gulf of Bothnia.
|
E1038294
|
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: Kalix | Statement: [European route E10, passesThrough, Kalix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalix Context triple: [European route E10, passesThrough, Kalix]
-
A.
Alixan
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
-
B.
Taliska
Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
-
C.
Quälix
Quälix is the notorious nickname of German football coach Felix Magath, referencing his extremely hard and demanding training methods.
-
D.
Calbraith
Calbraith is the middle name of U.S. naval officer Matthew Calbraith Perry, known for opening Japan to Western trade in the mid-19th century.
-
E.
Xilleon
Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
- 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: Kalix Triple: [European route E10, passesThrough, Kalix]
Generated description
Kalix is a small coastal town in northern Sweden known for its location along the Kalix River near the Gulf of Bothnia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalix Target entity description: Kalix is a small coastal town in northern Sweden known for its location along the Kalix River near the Gulf of Bothnia.
-
A.
Alixan
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
-
B.
Taliska
Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
-
C.
Quälix
Quälix is the notorious nickname of German football coach Felix Magath, referencing his extremely hard and demanding training methods.
-
D.
Calbraith
Calbraith is the middle name of U.S. naval officer Matthew Calbraith Perry, known for opening Japan to Western trade in the mid-19th century.
-
E.
Xilleon
Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:39 p.m.