Triple

T3141453
Position Surface form Disambiguated ID Type / Status
Subject canton of Mitry-Mory E65654 entity
Predicate containsCommune P15149 FINISHED
Object Compans
Compans is a small French commune located in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
 E332678 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: Compans | Statement: [canton of Mitry-Mory, containsCommune, Compans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Compans
Context triple: [canton of Mitry-Mory, containsCommune, Compans]
  • A. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • B. Compagnoni
    Compagnoni is an Italian surname most notably associated with mountaineer Achille Compagnoni, one of the first climbers to summit K2.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Wyman-Gordon
    Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
  • E. Otis France
    Otis France is the French subsidiary of the Otis Elevator Company, responsible for manufacturing, installing, and servicing elevators and escalators in France.
  • 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: Compans
Triple: [canton of Mitry-Mory, containsCommune, Compans]
Generated description
Compans is a small French commune located in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Compans
Target entity description: Compans is a small French commune located in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • A. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • B. Compagnoni
    Compagnoni is an Italian surname most notably associated with mountaineer Achille Compagnoni, one of the first climbers to summit K2.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Wyman-Gordon
    Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
  • E. Otis France
    Otis France is the French subsidiary of the Otis Elevator Company, responsible for manufacturing, installing, and servicing elevators and escalators in France.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57895dc8190bd3d4ef9391973dc completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e4df38819089d0a11016a85ad8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b228c1b568819088dc5ce4a15fedc2 completed March 12, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69b22ccd34a8819089e207b6ee1f634a completed March 12, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:05 p.m.