Triple
T9640713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pistoia |
E233056
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Larciano
Larciano is a small Italian municipality in Tuscany known for its medieval castle and scenic location in the Valdinievole area.
|
E814319
|
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: Larciano | Statement: [Province of Pistoia, contains, Larciano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larciano Context triple: [Province of Pistoia, contains, Larciano]
-
A.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
B.
Pisae
Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
-
C.
Fusignano
Fusignano is a small town in the Emilia-Romagna region of northern Italy, historically noted as the birthplace of Baroque composer Arcangelo Corelli.
-
D.
Arpino
Arpino is a historic town in central Italy, traditionally known as the birthplace of the Roman statesman Cicero.
-
E.
Savignano sul Rubicone
Savignano sul Rubicone is an Italian town in Emilia-Romagna known for its location near the historic Rubicon River famously crossed by Julius Caesar.
- 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: Larciano Triple: [Province of Pistoia, contains, Larciano]
Generated description
Larciano is a small Italian municipality in Tuscany known for its medieval castle and scenic location in the Valdinievole area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larciano Target entity description: Larciano is a small Italian municipality in Tuscany known for its medieval castle and scenic location in the Valdinievole area.
-
A.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
B.
Pisae
Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
-
C.
Fusignano
Fusignano is a small town in the Emilia-Romagna region of northern Italy, historically noted as the birthplace of Baroque composer Arcangelo Corelli.
-
D.
Arpino
Arpino is a historic town in central Italy, traditionally known as the birthplace of the Roman statesman Cicero.
-
E.
Savignano sul Rubicone
Savignano sul Rubicone is an Italian town in Emilia-Romagna known for its location near the historic Rubicon River famously crossed by Julius Caesar.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b552a1c81909a1fab347110eeb1 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190eaac248190a19be2ceb333372f |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d1916be2d48190b8f7be1c2bba931a |
completed | April 4, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d191eafbb08190a456ffec158c5a14 |
completed | April 4, 2026, 10:34 p.m. |
Created at: March 30, 2026, 8:12 p.m.