Triple

T38611545
Position Surface form Disambiguated ID Type / Status
Subject Henri Charrière E934494 entity
Predicate penalColony P191759 FINISHED
Object French Guiana NE NERFINISHED

How this triple was built (2 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: French Guiana | Statement: [Henri Charrière, penalColony, French Guiana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: penalColony
Context triple: [Henri Charrière, penalColony, French Guiana]
  • A. deathPeninsula
    Indicates a relationship where a death occurs on, near, or in association with a specific peninsula.
  • B. penalColonyClosedIn
    Indicates that a penal colony ceased operations or was officially closed in a specified time or place.
  • C. historicalPeriodOfPenalColony
    Indicates the historical time period during which a given penal colony was in operation or existed.
  • D. majorPenitentiary
    Indicates that an entity serves as a primary or principal penitentiary (major prison) within a given system or jurisdiction.
  • E. deathPenaltyImposedFor
    Indicates that a death penalty has been officially assigned as the punishment for a particular offense or action.
  • 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_69f76eccd6d081909ccce171011739a1 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fce7671f108190bf3ebf54339068b5 completed May 7, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69fce5b5a84c81908ac1b5b9f08d48d0 completed May 7, 2026, 7:19 p.m.
PDg Predicate description generation batch_69fce76669408190b1beef8899a8a5e2 completed May 7, 2026, 7:26 p.m.
Created at: May 3, 2026, 4:32 p.m.