Triple
T798963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Italy |
E17084
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Frosinone |
E101395
|
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: Frosinone | Statement: [Central Italy, containsCity, Frosinone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frosinone Context triple: [Central Italy, containsCity, Frosinone]
-
A.
Frosinone
chosen
Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
-
B.
Rieti
Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
-
C.
Lazio
Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
-
D.
Teramo
Teramo is a historic city in the Abruzzo region of central Italy, known for its Roman archaeological remains and medieval architecture.
-
E.
Terni
Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b4d9548190aad5fdf1211cf8cd |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8a96e40081909c2d532d68b0b248 |
completed | March 8, 2026, 2:41 p.m. |
Created at: March 1, 2026, 7:38 p.m.