Triple

T13989785
Position Surface form Disambiguated ID Type / Status
Subject Semoy E336538 entity
Predicate FrenchNameFor P6538 FINISHED
Object Semois E66774 NE FINISHED

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: Semois | Statement: [Semoy, FrenchNameFor, Semois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semois
Context triple: [Semoy, FrenchNameFor, Semois]
  • A. Semois River chosen
    The Semois River is a picturesque waterway in southern Belgium and northern France, known for winding through the rugged, forested landscapes of the Ardennes.
  • B. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • C. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • D. Saône River
    The Saône River is a major waterway in eastern France that flows through cities like Lyon and Dijon before joining the Rhône River.
  • E. Sambre
    The Sambre is a major river in northern France and southern Belgium that flows through the Walloon region before joining the Meuse at Namur.
  • 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: FrenchNameFor
Context triple: [Semoy, FrenchNameFor, Semois]
  • A. nameInFrench chosen
    Indicates that an entity is known or referred to by a specific name expressed in the French language.
  • B. genderedFamilyName
    Indicates that a family name is specifically associated with, or varies according to, a particular gender.
  • C. nameEtymologyFor
    Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
  • D. givenNameFor
    Indicates that one entity is the personal first name assigned to or used for another entity.
  • E. surnamePortmanteauOf
    Indicates that one surname is formed as a portmanteau by blending parts of two or more other surnames.
  • F. None of above.

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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb22e388190904fc87765176c91 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69dd465dfbc4819090d8c61fd572d35f completed April 13, 2026, 7:39 p.m.
Created at: April 9, 2026, 10:18 p.m.