Triple
T15743385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Savona |
E381654
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object | Varazze |
E1098609
|
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: Varazze | Statement: [Province of Savona, containsAdministrativeTerritorialEntity, Varazze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varazze Context triple: [Province of Savona, containsAdministrativeTerritorialEntity, Varazze]
-
A.
Varazze
chosen
Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
B.
Lavagnesi
Lavagnesi are the inhabitants or natives of Lavagna, a coastal town in the Liguria region of northwestern Italy.
-
C.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
D.
Fasano
Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
-
E.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd97d6c8190b2fa6ca422bfe512 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59779788190a393237f5293fe8d |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:46 a.m.