Triple

T19878237
Position Surface form Disambiguated ID Type / Status
Subject Porte de la Gardette E477696 entity
Predicate locatedIn P40 FINISHED
Object Gard 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: Gard | Statement: [Porte de la Gardette, locatedIn, Gard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gard
Context triple: [Porte de la Gardette, locatedIn, Gard]
  • A. Gard chosen
    Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
  • B. Gardingen
    Gardingen is a small locality in northern Germany best known as the birthplace of the renowned classical scholar and historian Theodor Mommsen.
  • C. Gaten
    Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
  • D. Grenaa
    Grenaa is a coastal town in eastern Jutland, Denmark, known for its ferry connections to the island of Anholt and its role as a regional commercial and educational center.
  • E. Tofte
    Tofte is a village in the former Hurum municipality in Norway, known for its coastal location along the Oslofjord and industrial history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dc8ce08190b005ad49924e5659 completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.