Triple

T16929321
Position Surface form Disambiguated ID Type / Status
Subject Chevry E410660 entity
Predicate borderedBy P224 FINISHED
Object Versonnex E86127 NE FINISHED

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: Versonnex | Statement: [Chevry, borderedBy, Versonnex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Versonnex
Context triple: [Chevry, borderedBy, Versonnex]
  • A. Versonnex chosen
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • B. Visperad
    Visperad is a Zoroastrian liturgical text and ceremony that expands upon the Yasna ritual with additional invocations to various divine beings.
  • C. Vimodrone
    Vimodrone is a municipality in the Metropolitan City of Milan in northern Italy, known as a residential and industrial suburb within the Milan urban area.
  • D. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • E. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf23873c8190bdc9121d6c3850e2 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdeb7a88190aac21a8645607dc8 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.