Triple
T7064010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yser River |
E164297
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ijzer
Ijzer is a river in northern France and western Belgium that flows into the North Sea and is historically known for its strategic role in World War I.
|
E638508
|
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: Ijzer | Statement: [Yser River, alsoKnownAs, Ijzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ijzer Context triple: [Yser River, alsoKnownAs, Ijzer]
-
A.
Oderberg
Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
-
B.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
C.
Jever
Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
-
D.
Achim
Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
-
E.
Örtze
Örtze is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
- 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: Ijzer Triple: [Yser River, alsoKnownAs, Ijzer]
Generated description
Ijzer is a river in northern France and western Belgium that flows into the North Sea and is historically known for its strategic role in World War I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ijzer Target entity description: Ijzer is a river in northern France and western Belgium that flows into the North Sea and is historically known for its strategic role in World War I.
-
A.
Oderberg
Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
-
B.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
C.
Jever
Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
-
D.
Achim
Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
-
E.
Örtze
Örtze is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e45e80e08190bb1a79a6026d2cd5 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788ba7af88190aeaf3205255af8ad |
completed | March 28, 2026, 7:52 a.m. |
| NEDg | Description generation | batch_69c7892a387c8190856eac695fbcfb02 |
completed | March 28, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c789bc4fa081908cf40ec8ff189b90 |
completed | March 28, 2026, 7:56 a.m. |
Created at: March 27, 2026, 2:38 p.m.