Triple
T15181285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falicon |
E362749
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Faliconnaise |
E1141499
|
NE FINISHED |
How this triple was built (2 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: Faliconnaise | Statement: [Falicon, hasDemonym, Faliconnaise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faliconnaise Context triple: [Falicon, hasDemonym, Faliconnaise]
-
A.
Faliconnais
chosen
Faliconnais refers to the inhabitants or natives of Falicon, a commune in the Alpes-Maritimes department in southeastern France.
-
B.
Francene
Francene is a feminine given name, typically considered a variant of Francine and often associated with French origins meaning "from France" or "Frenchwoman."
-
C.
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.
-
D.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
E.
Flisa
Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69fed32a1e3c81909ca2bd431a01e9cf |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:09 a.m.