Triple
T14673332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selci |
E344568
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Forano |
E344567
|
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: Forano | Statement: [Selci, sharesBorderWith, Forano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forano Context triple: [Selci, sharesBorderWith, Forano]
-
A.
Forano
chosen
Forano is a small Italian town and comune in the Lazio region, known for its rural setting and proximity to Rome.
-
B.
Fragagnano
Fragagnano is a small town and comune in the Apulia region of southern Italy, known for its traditional agriculture and proximity to the Ionian coast.
-
C.
Fanano
Fanano is a small Italian town and comune in the Apennine mountains of Emilia-Romagna, known for its natural landscapes and traditional alpine architecture.
-
D.
Frassinoro
Frassinoro is a small municipality in the Emilia-Romagna region of northern Italy, known for its Apennine mountain landscapes and historic Benedictine abbey.
-
E.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07e355881908a2e75ccff4f0590 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:27 a.m.