Triple
T13870065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celle Ligure |
E333424
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Varazze
Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
|
E1098609
|
NE FINISHED |
How this triple was built (4 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: [Celle Ligure, locatedNear, Varazze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varazze Context triple: [Celle Ligure, locatedNear, Varazze]
-
A.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
B.
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.
-
C.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
D.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
-
E.
Melizzano
Melizzano is a small Italian municipality in the Campania region, known for its rural landscape and traditional southern Italian character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Varazze Triple: [Celle Ligure, locatedNear, Varazze]
Generated description
Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varazze Target entity description: Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
A.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
B.
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.
-
C.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
D.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
-
E.
Melizzano
Melizzano is a small Italian municipality in the Campania region, known for its rural landscape and traditional southern Italian character.
- F. None of above. chosen
Provenance (5 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c530148190b11704300bbd5f9b |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb05bb481909a0ad528e998fdf1 |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5d078b8081908810acb77be74b2b |
completed | May 8, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5d7e07a08190be5154674f7478fb |
completed | May 8, 2026, 3:50 a.m. |
Created at: April 9, 2026, 10:14 p.m.