Triple

T8098658
Position Surface form Disambiguated ID Type / Status
Subject Lasne E189049 entity
Predicate contains P35 FINISHED
Object Plancenoit
Plancenoit is a village in Walloon Brabant, Belgium, best known as a key battlefield site during the Battle of Waterloo in 1815.
 E722492 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: Plancenoit | Statement: [Lasne, contains, Plancenoit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plancenoit
Context triple: [Lasne, contains, Plancenoit]
  • A. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • B. Audun-le-Tiche
    Audun-le-Tiche is a commune in northeastern France’s Moselle department, known for its industrial past and location near the borders with Luxembourg and Belgium.
  • C. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • D. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • E. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • 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: Plancenoit
Triple: [Lasne, contains, Plancenoit]
Generated description
Plancenoit is a village in Walloon Brabant, Belgium, best known as a key battlefield site during the Battle of Waterloo in 1815.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plancenoit
Target entity description: Plancenoit is a village in Walloon Brabant, Belgium, best known as a key battlefield site during the Battle of Waterloo in 1815.
  • A. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • B. Audun-le-Tiche
    Audun-le-Tiche is a commune in northeastern France’s Moselle department, known for its industrial past and location near the borders with Luxembourg and Belgium.
  • C. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • D. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • E. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42961ad4819085d023427fc5ac5f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd677b00548190929a2a38b4d1476f completed April 1, 2026, 6:44 p.m.
NEDg Description generation batch_69cd6c1f75748190b119acd0d92f2ef9 completed April 1, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69cd7da4f3a0819080eed3d03c293789 completed April 1, 2026, 8:18 p.m.
Created at: March 30, 2026, 5:30 p.m.