Triple
T9171804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Lucca |
E220097
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Seravezza
Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
|
E785774
|
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: Seravezza | Statement: [Province of Lucca, contains, Seravezza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seravezza Context triple: [Province of Lucca, contains, Seravezza]
-
A.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
-
B.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
C.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
D.
Norcino
Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
-
E.
Garaventa
Garaventa is a brand of the Doppelmayr Garaventa Group known for manufacturing ropeways and cable transport systems such as gondolas, chairlifts, and funiculars.
- 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: Seravezza Triple: [Province of Lucca, contains, Seravezza]
Generated description
Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seravezza Target entity description: Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
-
A.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
-
B.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
C.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
D.
Norcino
Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
-
E.
Garaventa
Garaventa is a brand of the Doppelmayr Garaventa Group known for manufacturing ropeways and cable transport systems such as gondolas, chairlifts, and funiculars.
- 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_69d065cd42f481909ad3c68372041b1a |
completed | April 4, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69d0676ea53c81908b16dfce6810f6b0 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0684c1a108190bc7fdfdced16e24c |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:22 p.m.