Triple
T14458838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentano |
E358528
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object | Cellere |
E223010
|
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: Cellere | Statement: [Valentano, bordersWith, Cellere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cellere Context triple: [Valentano, bordersWith, Cellere]
-
A.
Cellere
chosen
Cellere is a small town in the Lazio region of central Italy, known for its rural landscape and proximity to other historic villages such as Canino.
-
B.
Nolcorp
Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
-
C.
Erixx
Erixx is a regional railway company in Germany that operates local passenger train services in Lower Saxony and surrounding areas.
-
D.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
E.
Artelia
Artelia is a feminine given name, notably borne by Artelia Roney Duke, an American philanthropist and tobacco heiress.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91aabebc819097eb61b2d81c9a91 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64935d8081908e5b0e80027948e0 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.