Triple
T10619370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waremme |
E295667
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Grand-Axhe
Grand-Axhe is a village in the municipality of Waremme in the province of Liège, Belgium.
|
E875460
|
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: Grand-Axhe | Statement: [Waremme, contains, Grand-Axhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand-Axhe Context triple: [Waremme, contains, Grand-Axhe]
-
A.
Acquigny
Acquigny is a commune in northern France known for its historic château, picturesque setting, and location at the confluence of the Eure and Iton rivers.
-
B.
Aiguèze
Aiguèze is a picturesque medieval village in southern France, known for its hilltop setting overlooking the Ardèche River and its well-preserved historic architecture.
-
C.
L’Arbresle
L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
-
D.
Escoutoux
Escoutoux is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
-
E.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
- 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: Grand-Axhe Triple: [Waremme, contains, Grand-Axhe]
Generated description
Grand-Axhe is a village in the municipality of Waremme in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grand-Axhe Target entity description: Grand-Axhe is a village in the municipality of Waremme in the province of Liège, Belgium.
-
A.
Acquigny
Acquigny is a commune in northern France known for its historic château, picturesque setting, and location at the confluence of the Eure and Iton rivers.
-
B.
Aiguèze
Aiguèze is a picturesque medieval village in southern France, known for its hilltop setting overlooking the Ardèche River and its well-preserved historic architecture.
-
C.
L’Arbresle
L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
-
D.
Escoutoux
Escoutoux is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
-
E.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:21 p.m.