Triple
T1493036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moulins |
E29623
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object |
Moulinois
Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
|
E178088
|
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: Moulinois | Statement: [Moulins, demonym, Moulinois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulinois Context triple: [Moulins, demonym, Moulinois]
-
A.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
B.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
C.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
D.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
E.
Haubourdin
Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
- 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: Moulinois Triple: [Moulins, demonym, Moulinois]
Generated description
Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moulinois Target entity description: Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
-
A.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
B.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
C.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
D.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
E.
Haubourdin
Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c4f0c88190a97ba4910c1a5d85 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36ffd8808190894f2139ae12204e |
completed | March 8, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69ad38dd6e98819082ceba12e9280963 |
completed | March 8, 2026, 8:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad3a71919c8190822efc93501f15ef |
completed | March 8, 2026, 8:59 a.m. |
Created at: March 1, 2026, 8:12 p.m.