Triple
T14723515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orne |
E345874
|
entity |
| Predicate | hasHistoricTown |
P847
|
FINISHED |
| Object |
Domfront-en-Poiraie
Domfront-en-Poiraie is a medieval fortified town in northwestern France known for its historic castle ruins and picturesque old quarter overlooking the surrounding countryside.
|
E1115336
|
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: Domfront-en-Poiraie | Statement: [Orne, hasHistoricTown, Domfront-en-Poiraie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domfront-en-Poiraie Context triple: [Orne, hasHistoricTown, Domfront-en-Poiraie]
-
A.
Devant-le-Pont
Devant-le-Pont is a district or neighborhood of the town of Visé in the province of Liège, Belgium.
-
B.
Pierrelaye
Pierrelaye is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
C.
Périers-sur-le-Dan
Périers-sur-le-Dan is a small commune in the Calvados department of the Normandy region in northwestern France.
-
D.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
E.
Saint-Pierre-du-Perray
Saint-Pierre-du-Perray is a suburban commune in the Essonne department of the Île-de-France region in northern France, situated in the southern outskirts of Paris.
- 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: Domfront-en-Poiraie Triple: [Orne, hasHistoricTown, Domfront-en-Poiraie]
Generated description
Domfront-en-Poiraie is a medieval fortified town in northwestern France known for its historic castle ruins and picturesque old quarter overlooking the surrounding countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Domfront-en-Poiraie Target entity description: Domfront-en-Poiraie is a medieval fortified town in northwestern France known for its historic castle ruins and picturesque old quarter overlooking the surrounding countryside.
-
A.
Devant-le-Pont
Devant-le-Pont is a district or neighborhood of the town of Visé in the province of Liège, Belgium.
-
B.
Pierrelaye
Pierrelaye is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
C.
Périers-sur-le-Dan
Périers-sur-le-Dan is a small commune in the Calvados department of the Normandy region in northwestern France.
-
D.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
E.
Saint-Pierre-du-Perray
Saint-Pierre-du-Perray is a suburban commune in the Essonne department of the Île-de-France region in northern France, situated in the southern outskirts of Paris.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf09791e081908a1262717fd31445 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf32c1ec48190b28fb67e00b87fcd |
completed | May 8, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf3cfd7b48190b5d6177c5bf0e42e |
completed | May 8, 2026, 2:31 p.m. |
Created at: April 10, 2026, 1:29 a.m.