Triple
T9389253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sens |
E225980
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Senigallia |
E138540
|
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: Senigallia | Statement: [Sens, hasTwinTown, Senigallia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senigallia Context triple: [Sens, hasTwinTown, Senigallia]
-
A.
Senigallia
chosen
Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
-
B.
Sansobbia
Sansobbia is a small river in the Liguria region of northwestern Italy that flows through the municipality of Albisola Superiore before reaching the Ligurian Sea.
-
C.
Carrù
Carrù is a small town in Italy’s Piedmont region, known as the birthplace of former Italian President Luigi Einaudi and for its wine and truffle traditions.
-
D.
Ariccia
Ariccia is a historic town in the Alban Hills near Rome, known for its Baroque architecture and traditional porchetta.
-
E.
Marsica
Marsica is a historical region in central Italy, located in the Apennine Mountains of Abruzzo and known for its ancient Italic heritage and the former Lake Fucino basin.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d83c188190925c389dff1341b0 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100f1182881909c3b11c22e911b61 |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:45 p.m.