Triple
T22010249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanian plain |
E543554
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Brusciano
Brusciano is a town in southern Italy’s Campania region, situated in the metropolitan area of Naples on the fertile Campanian plain.
|
E1514449
|
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: Brusciano | Statement: [Campanian plain, hasMajorCity, Brusciano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brusciano Context triple: [Campanian plain, hasMajorCity, Brusciano]
-
A.
Triggiano
Triggiano is a town and comune in the Apulia region of southern Italy, situated near the city of Bari.
-
B.
Palagiano
Palagiano is a town and comune in the Apulia region of southern Italy, known for its agricultural production and location near the Ionian coast in the Province of Taranto.
-
C.
Massignano
Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
-
D.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
E.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
- 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: Brusciano Triple: [Campanian plain, hasMajorCity, Brusciano]
Generated description
Brusciano is a town in southern Italy’s Campania region, situated in the metropolitan area of Naples on the fertile Campanian plain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brusciano Target entity description: Brusciano is a town in southern Italy’s Campania region, situated in the metropolitan area of Naples on the fertile Campanian plain.
-
A.
Triggiano
Triggiano is a town and comune in the Apulia region of southern Italy, situated near the city of Bari.
-
B.
Palagiano
Palagiano is a town and comune in the Apulia region of southern Italy, known for its agricultural production and location near the Ionian coast in the Province of Taranto.
-
C.
Massignano
Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
-
D.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
E.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7376d19481909aa40216cf57c568 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74e81da881908c73d864258dcdd5 |
completed | May 18, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75cbb2408190b058713432b048a2 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:22 p.m.