Triple

T3804674
Position Surface form Disambiguated ID Type / Status
Subject Tracy E91775 entity
Predicate derivedFromPlaceName P19572 FINISHED
Object Tracy-Bocage
Tracy-Bocage is a small commune in the Calvados department of the Normandy region in northwestern France.
E390108 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: Tracy-Bocage | Statement: [Tracy, derivedFromPlaceName, Tracy-Bocage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracy-Bocage
Context triple: [Tracy, derivedFromPlaceName, Tracy-Bocage]
  • A. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • B. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • E. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central 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: Tracy-Bocage
Triple: [Tracy, derivedFromPlaceName, Tracy-Bocage]
Generated description
Tracy-Bocage is a small commune in the Calvados department of the Normandy region in northwestern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tracy-Bocage
Target entity description: Tracy-Bocage is a small commune in the Calvados department of the Normandy region in northwestern France.
  • A. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • B. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • E. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bc240881909e91b7b99403a13c completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb2a5af481908d69e1a88eb80d84 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fc1d144881908affcdae84a3c395 completed March 14, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc942b588190985b191376289258 completed March 14, 2026, 6:13 a.m.
Created at: March 9, 2026, 3:15 p.m.