Triple

T12792238
Position Surface form Disambiguated ID Type / Status
Subject canton of Romans-sur-Isère E305795 entity
Predicate contains P35 FINISHED
Object Échevis
Échevis is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
E1003110 NE FINISHED

How this triple was built (4 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: Échevis | Statement: [canton of Romans-sur-Isère, contains, Échevis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Échevis
Context triple: [canton of Romans-sur-Isère, contains, Échevis]
  • A. Erquito
    Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
  • B. Aigaleo
    Aigaleo is a suburban municipality in the western part of the Athens metropolitan area in Greece.
  • C. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • D. Valesdir
    Valesdir is a settlement on the planet Epi, likely serving as one of its inhabited or developed locations.
  • E. Huelma
    Huelma is a municipality in the province of Jaén, Andalusia, Spain, known for its rural setting and cultural landmarks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Échevis
Triple: [canton of Romans-sur-Isère, contains, Échevis]
Generated description
Échevis is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Échevis
Target entity description: Échevis is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
  • A. Erquito
    Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
  • B. Aigaleo
    Aigaleo is a suburban municipality in the western part of the Athens metropolitan area in Greece.
  • C. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • D. Valesdir
    Valesdir is a settlement on the planet Epi, likely serving as one of its inhabited or developed locations.
  • E. Huelma
    Huelma is a municipality in the province of Jaén, Andalusia, Spain, known for its rural setting and cultural landmarks.
  • F. None of above. chosen

Provenance (5 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6b55248190ab938e69eb263612 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850ac1808190a9b547d934252d10 completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f689733f748190bca592ab30b4437c completed May 2, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69f68a4cb2c4819083def0a43452470f completed May 2, 2026, 11:35 p.m.
Created at: April 9, 2026, 5:30 p.m.