Triple

T19265447
Position Surface form Disambiguated ID Type / Status
Subject Argonne E481762 entity
Predicate sawCombatant P135345 FINISHED
Object France NE NERFINISHED

How this triple was built (3 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: France | Statement: [Argonne, sawCombatant, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Argonne, sawCombatant, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. La France
    La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. Pays Royannais
    Pays Royannais is a coastal area in southwestern France centered around the town of Royan, known for its seaside resorts and Atlantic beaches.
  • E. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sawCombatant
Context triple: [Argonne, sawCombatant, France]
  • A. sawCombat
    Indicates that an entity directly participated in active military or armed conflict.
  • B. hasCombat
    Indicates that an entity engages in, is involved with, or possesses the capability for combat or fighting interactions with other entities.
  • C. mainCombatant
    Indicates that the subject is the primary participant or leading party in a conflict, battle, or combat situation involving the object.
  • D. combatantsIncluded
    Indicates that the specified entities are participants or parties involved in a particular combat or conflict.
  • E. introducedToCombat
    Indicates that something was brought into use or implemented specifically for the purpose of addressing or mitigating a particular problem, threat, or undesirable condition.
  • F. None of above. chosen

Provenance (4 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8ca2e88190baad3b6c199ee036 completed April 20, 2026, 10:10 a.m.
PD Predicate disambiguation batch_69e4dd07a7208190afcd51ba1dc87c33 completed April 19, 2026, 1:47 p.m.
PDg Predicate description generation batch_69e4df51ac6c819091ce72b07790ffa6 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 1:29 p.m.