Triple

T3504145
Position Surface form Disambiguated ID Type / Status
Subject Somme E74035 entity
Predicate containsTown P847 FINISHED
Object Péronne
Péronne is a historic town in northern France known for its role in World War I and its location in the Somme department.
E391538 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: Péronne | Statement: [Somme, containsTown, Péronne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Péronne
Context triple: [Somme, containsTown, Péronne]
  • A. Arras
    Arras is a historic city in northern France renowned for its Flemish-Baroque architecture, grand squares, and role as a strategic site in both World Wars.
  • B. Saint-Quentin
    Saint-Quentin is a historic town in northern France known for its Gothic basilica, Art Deco architecture, and role as a regional administrative and commercial center.
  • C. Château-Thierry
    Château-Thierry is a historic town in northern France known for its World War I battlefields and its association with the poet Jean de La Fontaine.
  • D. Montmédy
    Montmédy is a fortified town in northeastern France near the Luxembourg and Belgian borders, historically significant as the intended royal refuge during the failed Flight to Varennes in 1791.
  • E. Beauvais
    Beauvais is a historic city in northern France known for its impressive Gothic cathedral and role as the capital of the Oise department.
  • 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: Péronne
Triple: [Somme, containsTown, Péronne]
Generated description
Péronne is a historic town in northern France known for its role in World War I and its location in the Somme department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Péronne
Target entity description: Péronne is a historic town in northern France known for its role in World War I and its location in the Somme department.
  • A. Arras
    Arras is a historic city in northern France renowned for its Flemish-Baroque architecture, grand squares, and role as a strategic site in both World Wars.
  • B. Saint-Quentin
    Saint-Quentin is a historic town in northern France known for its Gothic basilica, Art Deco architecture, and role as a regional administrative and commercial center.
  • C. Château-Thierry
    Château-Thierry is a historic town in northern France known for its World War I battlefields and its association with the poet Jean de La Fontaine.
  • D. Montmédy
    Montmédy is a fortified town in northeastern France near the Luxembourg and Belgian borders, historically significant as the intended royal refuge during the failed Flight to Varennes in 1791.
  • E. Beauvais
    Beauvais is a historic city in northern France known for its impressive Gothic cathedral and role as the capital of the Oise department.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf22b1c8190956141d8fb924210 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4faec5fc4819090c8f55b819d436c completed March 14, 2026, 6:06 a.m.
NEDg Description generation batch_69b4fc7abfb481908f563e17e6e57a4e completed March 14, 2026, 6:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4fce0a6a88190be19941a70caebdc completed March 14, 2026, 6:14 a.m.
Created at: March 8, 2026, 3:18 p.m.