Triple
T8411995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorgues |
E198645
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Sorguaises
Sorguaises are the female inhabitants or natives of Sorgues, a commune in southeastern France.
|
E731553
|
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: Sorguaises | Statement: [Sorgues, hasDemonym, Sorguaises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorguaises Context triple: [Sorgues, hasDemonym, Sorguaises]
-
A.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
-
B.
Dolomieucoises
Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
-
C.
Orlysiens
Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
-
D.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
E.
Sarazi
Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
- 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: Sorguaises Triple: [Sorgues, hasDemonym, Sorguaises]
Generated description
Sorguaises are the female inhabitants or natives of Sorgues, a commune in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sorguaises Target entity description: Sorguaises are the female inhabitants or natives of Sorgues, a commune in southeastern France.
-
A.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
-
B.
Dolomieucoises
Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
-
C.
Orlysiens
Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
-
D.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
E.
Sarazi
Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e0341c819080506e696131671e |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0322d1448190aceaf7486c110ff7 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce07808098819087e896b87320aefd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08759e1c81909c96caf3b571e1ca |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:05 p.m.