Triple
T3841077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade Armand-Cesari |
E93449
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Furiani |
E93449
|
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: Furiani | Statement: [Stade Armand-Cesari, locatedIn, Furiani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furiani Context triple: [Stade Armand-Cesari, locatedIn, Furiani]
-
A.
Furiani
chosen
Furiani is a commune on the French Mediterranean island of Corsica, known for its proximity to Bastia and its coastal setting.
-
B.
Scorpiace
Scorpiace is an early Christian apologetic treatise by Tertullian that defends the value of martyrdom against heretical teachings.
-
C.
Setif
Sétif is a major city in northeastern Algeria known as an important commercial and agricultural center with a rich historical heritage.
-
D.
Fier
Fier is a river in southeastern France that serves as the main outflow of Lake Annecy and a tributary of the Rhône.
-
E.
Vagos
Vagos is a coastal municipality in central Portugal known for its beaches, dunes, and integration into the Aveiro region’s lagoon landscape.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb235088190b115623e54ea2ab1 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040d478081909a903bbf02f0d0ec |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.