Triple
T15716760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Bas |
E380980
|
entity |
| Predicate | militaryBranch |
P253
|
FINISHED |
| Object |
schutterij
The schutterij was a civic militia organization in the Low Countries, composed of armed citizens responsible for local defense and public order, especially prominent in the early modern period.
|
E1172742
|
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: schutterij | Statement: [Albert Bas, militaryBranch, schutterij]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: schutterij Context triple: [Albert Bas, militaryBranch, schutterij]
-
A.
Schutter
The Schutter is a river in southwestern Germany that flows through the state of Baden-Württemberg and is a tributary of the Kinzig.
-
B.
Schunter
Schunter is a river in Lower Saxony, Germany, that flows through the Braunschweig region before joining the Oker.
-
C.
Schie
Schie is a historic waterway in the Netherlands that connects the city of Delft with nearby towns and has played an important role in regional transport and trade.
-
D.
Schieren
Schieren is a small commune and town located in central Luxembourg.
-
E.
Scher
Scher is a surname of likely German or Eastern European origin borne by various individuals and families.
- 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: schutterij Triple: [Albert Bas, militaryBranch, schutterij]
Generated description
The schutterij was a civic militia organization in the Low Countries, composed of armed citizens responsible for local defense and public order, especially prominent in the early modern period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: schutterij Target entity description: The schutterij was a civic militia organization in the Low Countries, composed of armed citizens responsible for local defense and public order, especially prominent in the early modern period.
-
A.
Schutter
The Schutter is a river in southwestern Germany that flows through the state of Baden-Württemberg and is a tributary of the Kinzig.
-
B.
Schunter
Schunter is a river in Lower Saxony, Germany, that flows through the Braunschweig region before joining the Oker.
-
C.
Schie
Schie is a historic waterway in the Netherlands that connects the city of Delft with nearby towns and has played an important role in regional transport and trade.
-
D.
Schieren
Schieren is a small commune and town located in central Luxembourg.
-
E.
Scher
Scher is a surname of likely German or Eastern European origin borne by various individuals and families.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7583609c8190a80421fce649900f |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff76deb1948190bc49825719ac97d5 |
completed | May 9, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff77642ba4819095c1acc65da06135 |
completed | May 9, 2026, 6:05 p.m. |
Created at: April 10, 2026, 4:45 a.m.