Triple
T18851651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Largo del Nazareno |
E461054
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Lazio |
—
|
NE NERFINISHED |
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: Lazio | Statement: [Largo del Nazareno, locatedInRegion, Lazio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazio Context triple: [Largo del Nazareno, locatedInRegion, Lazio]
-
A.
Lazio
chosen
Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
-
B.
Lazio
Lazio is a major professional football club based in Rome, Italy, known for competing in Serie A and for its passionate fan base and historic rivalry with AS Roma.
-
C.
Frosinone
Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
-
D.
Marino, Lazio
Marino, Lazio is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
E.
Pomezia
Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05995e88190b189864fcbda68e5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.