Triple
T15181284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falicon |
E362749
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Faliconnais
Faliconnais refers to the inhabitants or natives of Falicon, a commune in the Alpes-Maritimes department in southeastern France.
|
E1141499
|
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: Faliconnais | Statement: [Falicon, hasDemonym, Faliconnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faliconnais Context triple: [Falicon, hasDemonym, Faliconnais]
-
A.
Falaisiens
Falaisiens are the inhabitants of the town of Falaise in the Calvados department of Normandy, France.
-
B.
Francilienne
Francilienne is a ring road motorway system that partially encircles the Île-de-France region around Paris, serving as an outer bypass to relieve traffic from the city’s inner ring roads.
-
C.
Angoumoisin
Angoumoisin is the French term for an inhabitant or native of the city of Angoulême in southwestern France.
-
D.
Forcalquier
Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
-
E.
Beurnevésin
Beurnevésin is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
- 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: Faliconnais Triple: [Falicon, hasDemonym, Faliconnais]
Generated description
Faliconnais refers to the inhabitants or natives of Falicon, a commune in the Alpes-Maritimes department in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faliconnais Target entity description: Faliconnais refers to the inhabitants or natives of Falicon, a commune in the Alpes-Maritimes department in southeastern France.
-
A.
Falaisiens
Falaisiens are the inhabitants of the town of Falaise in the Calvados department of Normandy, France.
-
B.
Francilienne
Francilienne is a ring road motorway system that partially encircles the Île-de-France region around Paris, serving as an outer bypass to relieve traffic from the city’s inner ring roads.
-
C.
Angoumoisin
Angoumoisin is the French term for an inhabitant or native of the city of Angoulême in southwestern France.
-
D.
Forcalquier
Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
-
E.
Beurnevésin
Beurnevésin is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89210e081909e8077fa2487c40e |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec998bd908190a14574b9e08cab4a |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca58c02081909b8ee4066297e194 |
completed | May 9, 2026, 5:47 a.m. |
Created at: April 10, 2026, 3:09 a.m.