Triple
T8168463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namur Province |
E190753
|
entity |
| Predicate | hasHeritageSite |
P923
|
FINISHED |
| Object |
Abbey of Maredret
The Abbey of Maredret is a Benedictine monastery in Wallonia, Belgium, known for its neo-Gothic architecture and traditional monastic life.
|
E715896
|
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: Abbey of Maredret | Statement: [Namur Province, hasHeritageSite, Abbey of Maredret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abbey of Maredret Context triple: [Namur Province, hasHeritageSite, Abbey of Maredret]
-
A.
Abbeylara
Abbeylara is a historic village and former monastic site in County Longford, Ireland, known for the ruins of its medieval Cistercian abbey.
-
B.
Abbey of Hauterive
The Abbey of Hauterive is a historic Cistercian monastery in Switzerland known for its medieval origins and enduring monastic tradition.
-
C.
Abbeyé
Abbeyé is an alternative name for the Abé language, a Kwa language spoken primarily in Côte d'Ivoire.
-
D.
Abbey
Abbey is the familiar nickname of Abbey Bartlet, the fictional First Lady from the television series "The West Wing."
-
E.
Cymer Abbey
Cymer Abbey is a ruined 12th-century Cistercian monastery in Gwynedd, Wales, noted for its picturesque setting near Dolgellau.
- 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: Abbey of Maredret Triple: [Namur Province, hasHeritageSite, Abbey of Maredret]
Generated description
The Abbey of Maredret is a Benedictine monastery in Wallonia, Belgium, known for its neo-Gothic architecture and traditional monastic life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abbey of Maredret Target entity description: The Abbey of Maredret is a Benedictine monastery in Wallonia, Belgium, known for its neo-Gothic architecture and traditional monastic life.
-
A.
Abbeylara
Abbeylara is a historic village and former monastic site in County Longford, Ireland, known for the ruins of its medieval Cistercian abbey.
-
B.
Abbey of Hauterive
The Abbey of Hauterive is a historic Cistercian monastery in Switzerland known for its medieval origins and enduring monastic tradition.
-
C.
Abbeyé
Abbeyé is an alternative name for the Abé language, a Kwa language spoken primarily in Côte d'Ivoire.
-
D.
Abbey
Abbey is the familiar nickname of Abbey Bartlet, the fictional First Lady from the television series "The West Wing."
-
E.
Cymer Abbey
Cymer Abbey is a ruined 12th-century Cistercian monastery in Gwynedd, Wales, noted for its picturesque setting near Dolgellau.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466abfe48190b4eb2f23b1e28668 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf4b68288190be7490119d46b242 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc311d4e8819080f4aeef8ee7dc3b |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd83115fc8190a3e276bed0a00926 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:39 p.m.