Triple
T615463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulio Douhet |
E12193
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Caserta
Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
|
E126810
|
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: Caserta | Statement: [Giulio Douhet, placeOfBirth, Caserta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caserta Context triple: [Giulio Douhet, placeOfBirth, Caserta]
-
A.
Salerno
Salerno is a historic port city in southern Italy, known for its strategic role in World War II Allied landings and its position on the Tyrrhenian Sea near the Amalfi Coast.
-
B.
Pollica
Pollica is a small coastal town in Italy’s Campania region, known for its traditional Mediterranean lifestyle and cuisine.
-
C.
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.
-
D.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
E.
Terni
Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
- 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: Caserta Triple: [Giulio Douhet, placeOfBirth, Caserta]
Generated description
Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caserta Target entity description: Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
-
A.
Salerno
Salerno is a historic port city in southern Italy, known for its strategic role in World War II Allied landings and its position on the Tyrrhenian Sea near the Amalfi Coast.
-
B.
Pollica
Pollica is a small coastal town in Italy’s Campania region, known for its traditional Mediterranean lifestyle and cuisine.
-
C.
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.
-
D.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
E.
Terni
Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e0b438881909ad515adf7a4eb79 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4bf512bc81908ff403ce87337a0d |
completed | March 7, 2026, 4:01 p.m. |
| NEDg | Description generation | batch_69ac4f7da1b48190b758c1900ef5bc8f |
completed | March 7, 2026, 4:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4fd709e88190b7082b7111e24832 |
completed | March 7, 2026, 4:18 p.m. |
Created at: March 1, 2026, 7:35 p.m.