Triple
T19184125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishopric of Liège |
E469653
|
entity |
| Predicate | hasTerritory |
P285
|
FINISHED |
| Object |
Franchimont
Franchimont is a historic region and former lordship in present-day Belgium, known for its medieval castle and its past inclusion within the Prince-Bishopric of Liège.
|
E1362868
|
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: Franchimont | Statement: [Bishopric of Liège, hasTerritory, Franchimont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franchimont Context triple: [Bishopric of Liège, hasTerritory, Franchimont]
-
A.
Plobsheim
Plobsheim is a commune in northeastern France situated near Strasbourg in the Grand Est region.
-
B.
Geoffrion
Geoffrion is a French-Canadian surname most famously associated with Hall of Fame ice hockey player Bernie "Boom Boom" Geoffrion.
-
C.
Finklehoffe
Finklehoffe is the surname of Fred F. Finklehoffe, an American screenwriter and film producer active in Hollywood’s mid-20th century studio era.
-
D.
Fernelmont
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
E.
Blanchimont
Blanchimont is a famously fast, sweeping left-hand corner at Belgium’s Circuit de Spa-Francorchamps, known for its high-speed challenge and minimal runoff.
- 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: Franchimont Triple: [Bishopric of Liège, hasTerritory, Franchimont]
Generated description
Franchimont is a historic region and former lordship in present-day Belgium, known for its medieval castle and its past inclusion within the Prince-Bishopric of Liège.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franchimont Target entity description: Franchimont is a historic region and former lordship in present-day Belgium, known for its medieval castle and its past inclusion within the Prince-Bishopric of Liège.
-
A.
Plobsheim
Plobsheim is a commune in northeastern France situated near Strasbourg in the Grand Est region.
-
B.
Geoffrion
Geoffrion is a French-Canadian surname most famously associated with Hall of Fame ice hockey player Bernie "Boom Boom" Geoffrion.
-
C.
Finklehoffe
Finklehoffe is the surname of Fred F. Finklehoffe, an American screenwriter and film producer active in Hollywood’s mid-20th century studio era.
-
D.
Fernelmont
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
E.
Blanchimont
Blanchimont is a famously fast, sweeping left-hand corner at Belgium’s Circuit de Spa-Francorchamps, known for its high-speed challenge and minimal runoff.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61f1d9c8190b67555383d821958 |
completed | April 20, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8b818b481908c27575369db40b2 |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f987d3e88190ade6412afd3e1426 |
completed | May 15, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fa6c6e5481909beb3a33517264f3 |
completed | May 15, 2026, 10:50 a.m. |
Created at: April 10, 2026, 12:07 p.m.