Triple
T9171820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Lucca |
E220097
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sillano Giuncugnano
Sillano Giuncugnano is a small municipality in Tuscany, central Italy, located in the mountainous Garfagnana area.
|
E781603
|
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: Sillano Giuncugnano | Statement: [Province of Lucca, contains, Sillano Giuncugnano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sillano Giuncugnano Context triple: [Province of Lucca, contains, Sillano Giuncugnano]
-
A.
Oggiono
Oggiono is a small town and municipality in the Lombardy region of northern Italy, known for its scenic lakeside setting and proximity to the Alps.
-
B.
Blessagno
Blessagno is a small Italian village located in the mountainous Valle d’Intelvi area of Lombardy, near Lake Como.
-
C.
Bussolengo
Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
-
D.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
E.
Arzignano
Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
- 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: Sillano Giuncugnano Triple: [Province of Lucca, contains, Sillano Giuncugnano]
Generated description
Sillano Giuncugnano is a small municipality in Tuscany, central Italy, located in the mountainous Garfagnana area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sillano Giuncugnano Target entity description: Sillano Giuncugnano is a small municipality in Tuscany, central Italy, located in the mountainous Garfagnana area.
-
A.
Oggiono
Oggiono is a small town and municipality in the Lombardy region of northern Italy, known for its scenic lakeside setting and proximity to the Alps.
-
B.
Blessagno
Blessagno is a small Italian village located in the mountainous Valle d’Intelvi area of Lombardy, near Lake Como.
-
C.
Bussolengo
Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
-
D.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
E.
Arzignano
Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae38ee48190bf783477bc37913d |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0549d81d88190bea0995ad0016437 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0553c2b58819086a651863f884064 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0562e41bc8190801c75e962600df2 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:22 p.m.