Triple

T12737549
Position Surface form Disambiguated ID Type / Status
Subject Glorious First of June E304401 entity
Predicate notableShip P3345 FINISHED
Object Montagne
Montagne was a prominent French ship of the line that served as the flagship of the French fleet during the late 18th century.
 E1000705 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: Montagne | Statement: [Glorious First of June, notableShip, Montagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montagne
Context triple: [Glorious First of June, notableShip, Montagne]
  • A. Berge
    Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
  • B. Mont d’Est
    Mont d’Est is a major commercial and business district in Noisy-le-Grand, in the eastern suburbs of Paris, known for its shopping center and modern urban development.
  • C. La Montagne
    La Montagne is a monumental early 20th-century sculpture by French artist Aristide Maillol, celebrated for its serene, volumetric depiction of the female form.
  • D. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • E. Mount
    Mount is the surname of American actor Anson Mount, known for his roles in television series such as "Hell on Wheels" and "Star Trek: Discovery."
  • 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: Montagne
Triple: [Glorious First of June, notableShip, Montagne]
Generated description
Montagne was a prominent French ship of the line that served as the flagship of the French fleet during the late 18th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montagne
Target entity description: Montagne was a prominent French ship of the line that served as the flagship of the French fleet during the late 18th century.
  • A. Berge
    Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
  • B. Mont d’Est
    Mont d’Est is a major commercial and business district in Noisy-le-Grand, in the eastern suburbs of Paris, known for its shopping center and modern urban development.
  • C. La Montagne
    La Montagne is a monumental early 20th-century sculpture by French artist Aristide Maillol, celebrated for its serene, volumetric depiction of the female form.
  • D. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • E. Mount
    Mount is the surname of American actor Anson Mount, known for his roles in television series such as "Hell on Wheels" and "Star Trek: Discovery."
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8ff57c8190a935b5c9f4bb5aa3 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:26 p.m.