Triple
T2582334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain |
E57120
|
entity |
| Predicate | hasHistoricTown |
P847
|
FINISHED |
| Object |
Trévoux
Trévoux is a historic town in eastern France known for its medieval architecture and former role as the capital of the Dombes principality.
|
E326250
|
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: Trévoux | Statement: [Ain, hasHistoricTown, Trévoux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trévoux Context triple: [Ain, hasHistoricTown, Trévoux]
-
A.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
B.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
C.
Thônes
Thônes is a small Alpine town in southeastern France, known as a gateway to the Aravis mountains and for its traditional Reblochon cheese production.
-
D.
Saint-Véran
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
-
E.
Tournon-sur-Rhône
Tournon-sur-Rhône is a historic town in southeastern France on the banks of the Rhône River, known for its medieval architecture and wine-growing surroundings.
- 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: Trévoux Triple: [Ain, hasHistoricTown, Trévoux]
Generated description
Trévoux is a historic town in eastern France known for its medieval architecture and former role as the capital of the Dombes principality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trévoux Target entity description: Trévoux is a historic town in eastern France known for its medieval architecture and former role as the capital of the Dombes principality.
-
A.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
B.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
C.
Thônes
Thônes is a small Alpine town in southeastern France, known as a gateway to the Aravis mountains and for its traditional Reblochon cheese production.
-
D.
Saint-Véran
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
-
E.
Tournon-sur-Rhône
Tournon-sur-Rhône is a historic town in southeastern France on the banks of the Rhône River, known for its medieval architecture and wine-growing surroundings.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203287b48819080791588c7f7f5ab |
completed | March 12, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b203abbb608190be70122269ebd599 |
completed | March 12, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b204706428819087a18fdda0bba8ee |
completed | March 12, 2026, 12:10 a.m. |
Created at: March 6, 2026, 9:49 p.m.