Triple

T2122320
Position Surface form Disambiguated ID Type / Status
Subject Seine-et-Marne E43951 entity
Predicate subprefecture P9697 FINISHED
Object Meaux
Meaux is a historic commune in the Île-de-France region of north-central France, known for its cathedral, World War I heritage, and production of Brie de Meaux cheese.
 E335493 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: Meaux | Statement: [Seine-et-Marne, subprefecture, Meaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meaux
Context triple: [Seine-et-Marne, subprefecture, Meaux]
  • A. Poissy
    Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
  • B. Amiens
    Amiens is a historic city in northern France, known for its Gothic cathedral and role as the site of the 1802 Treaty of Amiens.
  • C. Melun
    Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
  • D. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • E. Troyes
    Troyes is a historic city in northeastern France, known for its well-preserved medieval old town, half-timbered houses, and Gothic churches.
  • 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: Meaux
Triple: [Seine-et-Marne, subprefecture, Meaux]
Generated description
Meaux is a historic commune in the Île-de-France region of north-central France, known for its cathedral, World War I heritage, and production of Brie de Meaux cheese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meaux
Target entity description: Meaux is a historic commune in the Île-de-France region of north-central France, known for its cathedral, World War I heritage, and production of Brie de Meaux cheese.
  • A. Poissy
    Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
  • B. Amiens
    Amiens is a historic city in northern France, known for its Gothic cathedral and role as the site of the 1802 Treaty of Amiens.
  • C. Melun
    Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
  • D. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • E. Troyes
    Troyes is a historic city in northeastern France, known for its well-preserved medieval old town, half-timbered houses, and Gothic churches.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb51e8088190a1aeafee4e8dff63 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24a9a49e481908f1916cbff31d908 completed March 12, 2026, 5:09 a.m.
NEDg Description generation batch_69b24c5154008190aaaf07333de85370 completed March 12, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69b24cf888288190b02782467c932862 completed March 12, 2026, 5:19 a.m.
Created at: March 4, 2026, 7:44 p.m.