Triple

T3777409
Position Surface form Disambiguated ID Type / Status
Subject Z 5600 E83340 entity
Predicate builder P3143 FINISHED
Object CIMT Lorraine
CIMT Lorraine is a French rolling stock manufacturer known for producing electric multiple units such as the Z 5600 series for the national railway network.
 E387388 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: CIMT Lorraine | Statement: [Z 5600, builder, CIMT Lorraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CIMT Lorraine
Context triple: [Z 5600, builder, CIMT Lorraine]
  • A. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • B. Le Coudray-Montceaux
    Le Coudray-Montceaux is a commune in the Île-de-France region of northern France, situated in the Essonne department south of Paris.
  • C. Domrémy
    Domrémy is a small village in northeastern France best known as the birthplace of Joan of Arc.
  • D. Valmy
    Valmy is a village in northeastern France historically renowned as the site of the pivotal 1792 Battle of Valmy during the French Revolutionary Wars.
  • E. Lower Lorraine
    Lower Lorraine was a medieval duchy within the Holy Roman Empire that encompassed much of the Low Countries and parts of western Germany.
  • 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: CIMT Lorraine
Triple: [Z 5600, builder, CIMT Lorraine]
Generated description
CIMT Lorraine is a French rolling stock manufacturer known for producing electric multiple units such as the Z 5600 series for the national railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CIMT Lorraine
Target entity description: CIMT Lorraine is a French rolling stock manufacturer known for producing electric multiple units such as the Z 5600 series for the national railway network.
  • A. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • B. Le Coudray-Montceaux
    Le Coudray-Montceaux is a commune in the Île-de-France region of northern France, situated in the Essonne department south of Paris.
  • C. Domrémy
    Domrémy is a small village in northeastern France best known as the birthplace of Joan of Arc.
  • D. Valmy
    Valmy is a village in northeastern France historically renowned as the site of the pivotal 1792 Battle of Valmy during the French Revolutionary Wars.
  • E. Lower Lorraine
    Lower Lorraine was a medieval duchy within the Holy Roman Empire that encompassed much of the Low Countries and parts of western Germany.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5d3dbc8190b6ab118a56acd5a3 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e534a02c8190b8dd76ed965f393f completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e6b1cefc8190971e9441dc145e19 completed March 14, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b4ea8b9d2c819088db1fdf9dc90c0c completed March 14, 2026, 4:56 a.m.
Created at: March 8, 2026, 3:36 p.m.