Triple
T14021127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrazza Mascagni |
E337331
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Livorno city center |
E67624
|
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: Livorno city center | Statement: [Terrazza Mascagni, near, Livorno city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livorno city center Context triple: [Terrazza Mascagni, near, Livorno city center]
-
A.
Livorno waterfront
The Livorno waterfront is a scenic coastal area in the Tuscan port city of Livorno, Italy, known for its historic harbor, seaside promenades, and maritime views.
-
B.
Livorno
chosen
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
-
C.
Livorno
Livorno is a settlement in Wanica District, Suriname, known as a suburban community near the capital city of Paramaribo.
-
D.
Viareggio
Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
-
E.
San Leo
San Leo is a historic hilltop town in Italy’s Emilia-Romagna region, renowned for its imposing fortress and panoramic views over the Marecchia Valley.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd095ca5081908d7fed82e9ef0252 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:19 p.m.