Triple
T4367666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourg-en-Bresse |
E98816
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Bressan
Bressan is the demonym for inhabitants of the French town of Bourg-en-Bresse and its surrounding region.
|
E433776
|
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: Bressan | Statement: [Bourg-en-Bresse, hasDemonym, Bressan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bressan Context triple: [Bourg-en-Bresse, hasDemonym, Bressan]
-
A.
Baciocchi
Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
-
B.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
C.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
-
D.
Marino
Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
-
E.
Alvito
Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
- 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: Bressan Triple: [Bourg-en-Bresse, hasDemonym, Bressan]
Generated description
Bressan is the demonym for inhabitants of the French town of Bourg-en-Bresse and its surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bressan Target entity description: Bressan is the demonym for inhabitants of the French town of Bourg-en-Bresse and its surrounding region.
-
A.
Baciocchi
Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
-
B.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
C.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
-
D.
Marino
Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
-
E.
Alvito
Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35201be7081908808e81634060f95 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcec90881908fe83c83119d99fe |
completed | March 14, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69b5dc3e4c488190a06421cdb3b168c3 |
completed | March 14, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e0432bfc8190b18bbe918de1f297 |
completed | March 14, 2026, 10:25 p.m. |
Created at: March 12, 2026, 11:17 p.m.