Triple
T9584581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Avellino |
E231254
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nusco |
E703793
|
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: Nusco | Statement: [Province of Avellino, contains, Nusco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nusco Context triple: [Province of Avellino, contains, Nusco]
-
A.
Nusco
chosen
Nusco is a small historic town in the Campania region of southern Italy, known for its medieval architecture and scenic hilltop setting.
-
B.
Malesco
Malesco is a small municipality in the Piedmont region of northern Italy, located in the mountainous Verbano-Cusio-Ossola province near the Swiss border.
-
C.
Noresco
Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
-
D.
Pizzuti
Pizzuti is an Italian-origin surname notably borne by Linda Pizzuti Henry, an American businesswoman and media executive.
-
E.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99d080c88190a7d3876589d7b864 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1617cd02c8190a1efbeb5bad0e48e |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.