Triple

T12892297
Position Surface form Disambiguated ID Type / Status
Subject Hexagone Balard E308398 entity
Predicate alsoKnownAs P39 FINISHED
Object Balardgon
Balardgon is the nickname for the French Ministry of the Armed Forces’ large, modern military headquarters complex located in the Balard area of Paris.
 E1007904 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: Balardgon | Statement: [Hexagone Balard, alsoKnownAs, Balardgon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balardgon
Context triple: [Hexagone Balard, alsoKnownAs, Balardgon]
  • A. Barugon
    Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
  • B. Dagonet
    Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
  • C. Baralbins
    Baralbins are the inhabitants of the French commune of Bar-sur-Aube in the Grand Est region of northeastern France.
  • D. Gothardus
    Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
  • E. Boorga
    Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • 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: Balardgon
Triple: [Hexagone Balard, alsoKnownAs, Balardgon]
Generated description
Balardgon is the nickname for the French Ministry of the Armed Forces’ large, modern military headquarters complex located in the Balard area of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balardgon
Target entity description: Balardgon is the nickname for the French Ministry of the Armed Forces’ large, modern military headquarters complex located in the Balard area of Paris.
  • A. Barugon
    Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
  • B. Dagonet
    Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
  • C. Baralbins
    Baralbins are the inhabitants of the French commune of Bar-sur-Aube in the Grand Est region of northeastern France.
  • D. Gothardus
    Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
  • E. Boorga
    Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97146d2208190be5ae26e51193b67 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55be3288190b2bc0bd197431db3 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6179cdc8190976daa1384032445 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a6cbec348190a96a0194b2d6be4b completed May 3, 2026, 1:37 a.m.
Created at: April 9, 2026, 5:40 p.m.