Triple

T3840273
Position Surface form Disambiguated ID Type / Status
Subject La Haye Sainte E93432 entity
Predicate near P350 FINISHED
Object Papelotte
Papelotte is a farmhouse and hamlet in Belgium that served as a key defensive position on the Allied left flank during the Battle of Waterloo in 1815.
 E404418 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: Papelotte | Statement: [La Haye Sainte, near, Papelotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Papelotte
Context triple: [La Haye Sainte, near, Papelotte]
  • A. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • B. Bertioga
    Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
  • C. Lacanau
    Lacanau is a coastal resort town in southwestern France known for its Atlantic beaches, surfing, and large freshwater lake.
  • D. Coupvray
    Coupvray is a small commune in the Île-de-France region of north-central France, known for its proximity to Disneyland Paris and as the birthplace of Louis Braille.
  • E. Cap-d’Ail
    Cap-d’Ail is a coastal resort town on the French Riviera, bordering Monaco and known for its scenic beaches and Belle Époque villas.
  • 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: Papelotte
Triple: [La Haye Sainte, near, Papelotte]
Generated description
Papelotte is a farmhouse and hamlet in Belgium that served as a key defensive position on the Allied left flank during the Battle of Waterloo in 1815.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Papelotte
Target entity description: Papelotte is a farmhouse and hamlet in Belgium that served as a key defensive position on the Allied left flank during the Battle of Waterloo in 1815.
  • A. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • B. Bertioga
    Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
  • C. Lacanau
    Lacanau is a coastal resort town in southwestern France known for its Atlantic beaches, surfing, and large freshwater lake.
  • D. Coupvray
    Coupvray is a small commune in the Île-de-France region of north-central France, known for its proximity to Disneyland Paris and as the birthplace of Louis Braille.
  • E. Cap-d’Ail
    Cap-d’Ail is a coastal resort town on the French Riviera, bordering Monaco and known for its scenic beaches and Belle Époque villas.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeba1535c8190b36e2ab2d4514b54 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fe2a3dc8190bf216d6f43439e58 completed March 14, 2026, 11 a.m.
NEDg Description generation batch_69b540eb53788190aa281ee38edc1729 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b541a55cb081909ec1f87a7553b6f2 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:18 p.m.