Triple

T10663788
Position Surface form Disambiguated ID Type / Status
Subject Brive arrondissement E251295 entity
Predicate contains P35 FINISHED
Object Malemort
Malemort is a commune in the Corrèze department of south-central France, situated near the town of Brive-la-Gaillarde.
E876644 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: Malemort | Statement: [Brive arrondissement, contains, Malemort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malemort
Context triple: [Brive arrondissement, contains, Malemort]
  • A. Mortus
    Mortus is the main villain of the 1995 Sega Genesis beat ’em up game Comix Zone, a demonic comic-book creator who brings his own drawings to life to battle the hero.
  • B. de Mortemart
    De Mortemart is the noble French family name of Madame de Montespan, a prominent 17th-century courtier and mistress of King Louis XIV.
  • C. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • D. Morta
    Morta is the Roman goddess of death and destiny, one of the three Fates who determines the moment of each mortal’s death by cutting the thread of life.
  • E. Morsum
    Morsum is a village on the German North Sea island of Sylt, known for its traditional thatched-roof houses and the nearby Morsum Cliff nature reserve.
  • 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: Malemort
Triple: [Brive arrondissement, contains, Malemort]
Generated description
Malemort is a commune in the Corrèze department of south-central France, situated near the town of Brive-la-Gaillarde.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malemort
Target entity description: Malemort is a commune in the Corrèze department of south-central France, situated near the town of Brive-la-Gaillarde.
  • A. Mortus
    Mortus is the main villain of the 1995 Sega Genesis beat ’em up game Comix Zone, a demonic comic-book creator who brings his own drawings to life to battle the hero.
  • B. de Mortemart
    De Mortemart is the noble French family name of Madame de Montespan, a prominent 17th-century courtier and mistress of King Louis XIV.
  • C. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • D. Morta
    Morta is the Roman goddess of death and destiny, one of the three Fates who determines the moment of each mortal’s death by cutting the thread of life.
  • E. Morsum
    Morsum is a village on the German North Sea island of Sylt, known for its traditional thatched-roof houses and the nearby Morsum Cliff nature reserve.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31db6288190857533213fa9f20d completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.