Triple
T5895993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | courts of appeal of Italy |
E131101
|
entity |
| Predicate | hasSeatIn |
P3522
|
FINISHED |
| Object |
Lecce
Lecce is a historic city in Italy’s Apulia region, renowned for its rich Baroque architecture and cultural heritage.
|
E581355
|
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: Lecce | Statement: [courts of appeal of Italy, hasSeatIn, Lecce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lecce Context triple: [courts of appeal of Italy, hasSeatIn, Lecce]
-
A.
Brindisi
Brindisi is a historic port city in southern Italy’s Apulia region, long serving as a key maritime gateway between Italy and the eastern Mediterranean.
-
B.
Foggia
Foggia is a city in the Apulia region of southern Italy, historically significant as a medieval center and later as an important agricultural and commercial hub.
-
C.
Barletta
Barletta is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and role as a provincial capital.
-
D.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
-
E.
Grosseto
Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
- 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: Lecce Triple: [courts of appeal of Italy, hasSeatIn, Lecce]
Generated description
Lecce is a historic city in Italy’s Apulia region, renowned for its rich Baroque architecture and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lecce Target entity description: Lecce is a historic city in Italy’s Apulia region, renowned for its rich Baroque architecture and cultural heritage.
-
A.
Brindisi
Brindisi is a historic port city in southern Italy’s Apulia region, long serving as a key maritime gateway between Italy and the eastern Mediterranean.
-
B.
Foggia
Foggia is a city in the Apulia region of southern Italy, historically significant as a medieval center and later as an important agricultural and commercial hub.
-
C.
Barletta
Barletta is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and role as a provincial capital.
-
D.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
-
E.
Grosseto
Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f4b56c8190aa52c9460eae8fbe |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ad46ac8190803b7f9fe83f6684 |
completed | March 26, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69c51dd8b7f08190add47eac00a3efed |
completed | March 26, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51e6d1d488190a8d3a5c2f6e8eb6c |
completed | March 26, 2026, 11:54 a.m. |
Created at: March 22, 2026, 3:58 p.m.