Triple

T22424976
Position Surface form Disambiguated ID Type / Status
Subject Brindisi Airport E554344 entity
Predicate locatedInDistrict P40 FINISHED
Object Casale
Casale is a coastal neighborhood of Brindisi in the Apulia region of southern Italy, known for hosting the city’s airport and overlooking the Adriatic Sea.
E1535955 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: Casale | Statement: [Brindisi Airport, locatedInDistrict, Casale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casale
Context triple: [Brindisi Airport, locatedInDistrict, Casale]
  • A. Casale
    Casale is a locality or district that forms part of the municipality of Albino in northern Italy.
  • B. Caselle Landi
    Caselle Landi is a small municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
  • C. Castelleone
    Castelleone is a historic town and comune in northern Italy’s Lombardy region, known for its medieval architecture and agricultural surroundings.
  • D. Casoli
    Casoli is a small Italian town in the Abruzzo region, known for its medieval historic center and scenic position overlooking the Aventino valley.
  • E. Calasca-Castiglione
    Calasca-Castiglione is a small municipality in the Piedmont region of northern Italy, located in the mountainous Ossola area of the Province of Verbano-Cusio-Ossola.
  • 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: Casale
Triple: [Brindisi Airport, locatedInDistrict, Casale]
Generated description
Casale is a coastal neighborhood of Brindisi in the Apulia region of southern Italy, known for hosting the city’s airport and overlooking the Adriatic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Casale
Target entity description: Casale is a coastal neighborhood of Brindisi in the Apulia region of southern Italy, known for hosting the city’s airport and overlooking the Adriatic Sea.
  • A. Casale
    Casale is a locality or district that forms part of the municipality of Albino in northern Italy.
  • B. Caselle Landi
    Caselle Landi is a small municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
  • C. Castelleone
    Castelleone is a historic town and comune in northern Italy’s Lombardy region, known for its medieval architecture and agricultural surroundings.
  • D. Casoli
    Casoli is a small Italian town in the Abruzzo region, known for its medieval historic center and scenic position overlooking the Aventino valley.
  • E. Calasca-Castiglione
    Calasca-Castiglione is a small municipality in the Piedmont region of northern Italy, located in the mountainous Ossola area of the Province of Verbano-Cusio-Ossola.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2c47bc81908b8265d83fa6fb65 completed April 29, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0f2bbf881909487299d630f73c4 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af28a8d5881908217c6f49363d411 completed May 18, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0af311f6448190a7e8196bb0e0d4fb completed May 18, 2026, 11:08 a.m.
Created at: April 16, 2026, 8:47 p.m.