Triple

T9291247
Position Surface form Disambiguated ID Type / Status
Subject Aisne E223521 entity
Predicate contains P35 FINISHED
Object Hirson
Hirson is a commune in northern France known for its location near the Belgian border and its historical role as a regional railway junction.
 E807154 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: Hirson | Statement: [Aisne, contains, Hirson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hirson
Context triple: [Aisne, contains, Hirson]
  • A. Tatihou
    Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
  • B. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • C. Hennebont
    Hennebont is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval ramparts and cultural heritage.
  • D. Beuvron
    Beuvron is a small river in central France that serves as a tributary of the Loire.
  • E. Montgeron
    Montgeron is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location within the Essonne department in the Île-de-France region.
  • 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: Hirson
Triple: [Aisne, contains, Hirson]
Generated description
Hirson is a commune in northern France known for its location near the Belgian border and its historical role as a regional railway junction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hirson
Target entity description: Hirson is a commune in northern France known for its location near the Belgian border and its historical role as a regional railway junction.
  • A. Tatihou
    Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
  • B. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • C. Hennebont
    Hennebont is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval ramparts and cultural heritage.
  • D. Beuvron
    Beuvron is a small river in central France that serves as a tributary of the Loire.
  • E. Montgeron
    Montgeron is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location within the Essonne department in the Île-de-France region.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0865a7108190b807afd259980db2 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1525bd4e88190a62e5e383d1e786b completed April 4, 2026, 6:03 p.m.
NEDg Description generation batch_69d155cf87c0819086b6a618e2102cdf completed April 4, 2026, 6:17 p.m.
NED2 Entity disambiguation (via description) batch_69d155f5e2008190b881e1d6a807ca81 completed April 4, 2026, 6:18 p.m.
Created at: March 30, 2026, 7:35 p.m.