Triple
T9538705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morges |
E230089
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Chivasso |
E557799
|
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: Chivasso | Statement: [Morges, hasTwinTown, Chivasso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chivasso Context triple: [Morges, hasTwinTown, Chivasso]
-
A.
Chivasso
chosen
Chivasso is a town and comune in the Piedmont region of northwestern Italy, situated near Turin along the Po River.
-
B.
Cotignola
Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
-
C.
Schio
Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
-
D.
Merate
Merate is a town in the Lombardy region of northern Italy, known for its historic center and the Merate Astronomical Observatory.
-
E.
Montevarchi
Montevarchi is a Tuscan town in central Italy known for its historic center, proximity to the Arno River, and role as a commercial and cultural hub in the Valdarno area.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cfead8819089a8f47ea83500a4 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2ffd03dac81909f6c91afb8d49521 |
completed | April 6, 2026, 12:35 a.m. |
Created at: March 30, 2026, 8:01 p.m.