Triple
T9852501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Thionville |
E239500
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Fontoy
Fontoy is a small commune in northeastern France’s Grand Est region, situated within the Moselle department.
|
E825002
|
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: Fontoy | Statement: [arrondissement of Thionville, containsAdministrativeTerritorialEntity, Fontoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontoy Context triple: [arrondissement of Thionville, containsAdministrativeTerritorialEntity, Fontoy]
-
A.
Foynes
Foynes is a village and port in County Limerick, Ireland, historically known as a key transatlantic seaplane base and as the birthplace of Irish coffee.
-
B.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
C.
Foix
Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
-
D.
Fogn
Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
-
E.
Vermilionville
Vermilionville is the former name of the city now known as Lafayette, Louisiana, a regional hub of Cajun and Creole culture in the southern part of the state.
- 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: Fontoy Triple: [arrondissement of Thionville, containsAdministrativeTerritorialEntity, Fontoy]
Generated description
Fontoy is a small commune in northeastern France’s Grand Est region, situated within the Moselle department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fontoy Target entity description: Fontoy is a small commune in northeastern France’s Grand Est region, situated within the Moselle department.
-
A.
Foynes
Foynes is a village and port in County Limerick, Ireland, historically known as a key transatlantic seaplane base and as the birthplace of Irish coffee.
-
B.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
C.
Foix
Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
-
D.
Fogn
Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
-
E.
Vermilionville
Vermilionville is the former name of the city now known as Lafayette, Louisiana, a regional hub of Cajun and Creole culture in the southern part of the state.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb375ba448190a32cca2b0f376ac1 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ee190c8190957451d8d8291df3 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6a385ac8190b5dd11adfbb7578d |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d75210f4819096ee05a8b870581e |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:34 p.m.