Triple
T3694811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meldola |
E78430
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Forlì |
E78044
|
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: Forlì | Statement: [Meldola, locatedNear, Forlì]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forlì Context triple: [Meldola, locatedNear, Forlì]
-
A.
Forlì
chosen
Forlì is a historic city in Italy’s Emilia-Romagna region, known for its medieval architecture, Renaissance art, and role as a provincial capital.
-
B.
Gubbio
Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
-
C.
Città di Castello
Città di Castello is a historic town in the Umbria region of central Italy, known for its medieval architecture, Renaissance art, and location along the upper Tiber River.
-
D.
Piacenza
Piacenza is a historic city in northern Italy known for its strategic location near the Po River, rich medieval and Renaissance architecture, and strong agricultural and industrial traditions.
-
E.
Forlì-Cesena
Forlì-Cesena is a province in Italy’s Emilia-Romagna region, known for its mix of historic towns, agricultural landscapes, and growing industrial and service sectors.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4eafd348190986f69aee787fd8f |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becf8388f8819090829c206f4080a2 |
completed | March 21, 2026, 5:04 p.m. |
Created at: March 8, 2026, 3:26 p.m.