Triple
T4106551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casteau |
E88464
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Soignies
Soignies is a historic town and municipality in the province of Hainaut in Wallonia, Belgium, known for its medieval collegiate church and blue limestone industry.
|
E452605
|
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: Soignies | Statement: [Casteau, locatedNear, Soignies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soignies Context triple: [Casteau, locatedNear, Soignies]
-
A.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
-
B.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
C.
Dreux
Dreux is a historic town in northern France known for its royal chapel and role as a regional center in the Eure-et-Loir department.
-
D.
Montriond
Montriond is a small Alpine village and ski resort area in the Haute-Savoie department of southeastern France, known for its proximity to Morzine and the Portes du Soleil ski domain.
-
E.
Pontigny
Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
- 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: Soignies Triple: [Casteau, locatedNear, Soignies]
Generated description
Soignies is a historic town and municipality in the province of Hainaut in Wallonia, Belgium, known for its medieval collegiate church and blue limestone industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soignies Target entity description: Soignies is a historic town and municipality in the province of Hainaut in Wallonia, Belgium, known for its medieval collegiate church and blue limestone industry.
-
A.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
-
B.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
C.
Dreux
Dreux is a historic town in northern France known for its royal chapel and role as a regional center in the Eure-et-Loir department.
-
D.
Montriond
Montriond is a small Alpine village and ski resort area in the Haute-Savoie department of southeastern France, known for its proximity to Morzine and the Portes du Soleil ski domain.
-
E.
Pontigny
Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af019c7a3c8190a503ce80e87dc3b3 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc532cd9c8190bb0763f5b78ed32f |
completed | March 20, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69bdc9f5c524819084be0a744d3dc73a |
completed | March 20, 2026, 10:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdca5a25dc81909ce6294b747e1e81 |
completed | March 20, 2026, 10:29 p.m. |
Created at: March 9, 2026, 3:40 p.m.