Triple
T5331706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orne |
E123324
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mortagne-au-Perche
Mortagne-au-Perche is a historic market town in northwestern France known as the traditional capital of the Perche region.
|
E511653
|
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: Mortagne-au-Perche | Statement: [Orne, contains, Mortagne-au-Perche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortagne-au-Perche Context triple: [Orne, contains, Mortagne-au-Perche]
-
A.
Coutances
Coutances is a historic town in northwestern France known for its Gothic cathedral and role as an administrative and cultural center in the Manche department of Normandy.
-
B.
Aubigny-sur-Nère
Aubigny-sur-Nère is a historic commune in the Cher department of central France, known for its strong Scottish connections and well-preserved medieval architecture.
-
C.
Ranville
Ranville is a village in Normandy, France, notable for its role in the D-Day landings and its proximity to key sites of the 1944 Allied invasion.
-
D.
Lisieux
Lisieux is a town and commune in the Calvados department of Normandy in northwestern France, known as a major Catholic pilgrimage site associated with Saint Thérèse of Lisieux.
-
E.
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.
- 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: Mortagne-au-Perche Triple: [Orne, contains, Mortagne-au-Perche]
Generated description
Mortagne-au-Perche is a historic market town in northwestern France known as the traditional capital of the Perche region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mortagne-au-Perche Target entity description: Mortagne-au-Perche is a historic market town in northwestern France known as the traditional capital of the Perche region.
-
A.
Coutances
Coutances is a historic town in northwestern France known for its Gothic cathedral and role as an administrative and cultural center in the Manche department of Normandy.
-
B.
Aubigny-sur-Nère
Aubigny-sur-Nère is a historic commune in the Cher department of central France, known for its strong Scottish connections and well-preserved medieval architecture.
-
C.
Ranville
Ranville is a village in Normandy, France, notable for its role in the D-Day landings and its proximity to key sites of the 1944 Allied invasion.
-
D.
Lisieux
Lisieux is a town and commune in the Calvados department of Normandy in northwestern France, known as a major Catholic pilgrimage site associated with Saint Thérèse of Lisieux.
-
E.
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.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85aab0308190990626cbc9da3e21 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18b75c388190955e4e31d71ffedb |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf197733b48190910bdd60fbd94fff |
completed | March 21, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf19e1b064819091851e975f83e781 |
completed | March 21, 2026, 10:21 p.m. |
Created at: March 20, 2026, 2 p.m.