Triple
T22010273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanian plain |
E543554
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Frignano
Frignano is a small municipality in Italy’s Campania region, situated within the fertile and densely populated Campanian plain.
|
E1520595
|
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: Frignano | Statement: [Campanian plain, hasMajorCity, Frignano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frignano Context triple: [Campanian plain, hasMajorCity, Frignano]
-
A.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
-
B.
Fragagnano
Fragagnano is a small town and comune in the Apulia region of southern Italy, known for its traditional agriculture and proximity to the Ionian coast.
-
C.
Folignano
Folignano is a small municipality in Italy’s Marche region, situated near the city of Ascoli Piceno.
-
D.
Calizzano
Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
-
E.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
- 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: Frignano Triple: [Campanian plain, hasMajorCity, Frignano]
Generated description
Frignano is a small municipality in Italy’s Campania region, situated within the fertile and densely populated Campanian plain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frignano Target entity description: Frignano is a small municipality in Italy’s Campania region, situated within the fertile and densely populated Campanian plain.
-
A.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
-
B.
Fragagnano
Fragagnano is a small town and comune in the Apulia region of southern Italy, known for its traditional agriculture and proximity to the Ionian coast.
-
C.
Folignano
Folignano is a small municipality in Italy’s Marche region, situated near the city of Ascoli Piceno.
-
D.
Calizzano
Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
-
E.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
- 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_6a0a8f0869088190ba060fd6a75db339 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a932243cc8190b015bdf9a6d97fd0 |
completed | May 18, 2026, 4:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a93a6adbc8190b7075d7ce81fb943 |
completed | May 18, 2026, 4:20 a.m. |
Created at: April 16, 2026, 8:22 p.m.