Triple

T11843393
Position Surface form Disambiguated ID Type / Status
Subject CA Portes de France–Thionville E281709 entity
Predicate includesCommune P15149 FINISHED
Object Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
E956524 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: Gavisse | Statement: [CA Portes de France–Thionville, includesCommune, Gavisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavisse
Context triple: [CA Portes de France–Thionville, includesCommune, Gavisse]
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Vallon
    Vallon is a small municipality in the canton of Fribourg in western Switzerland.
  • C. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • D. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • E. Girod
    Girod is a French surname and place name that appears as a variant of the name Giraud.
  • 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: Gavisse
Triple: [CA Portes de France–Thionville, includesCommune, Gavisse]
Generated description
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gavisse
Target entity description: Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Vallon
    Vallon is a small municipality in the canton of Fribourg in western Switzerland.
  • C. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • D. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • E. Girod
    Girod is a French surname and place name that appears as a variant of the name Giraud.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65a597c8190b09f57463b279afc completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4583d9900819090be07726ed00b93 completed May 1, 2026, 7:37 a.m.
NEDg Description generation batch_69f45f86349c81909a806fd7be4008e9 completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f4647ee1748190975bce3bbf51a3bc completed May 1, 2026, 8:29 a.m.
Created at: April 8, 2026, 9:43 p.m.