Triple

T16521109
Position Surface form Disambiguated ID Type / Status
Subject LIRN E401317 entity
Predicate locatedNear P294 FINISHED
Object Capodichino
Capodichino is a district in Naples, Italy, best known for hosting Naples International Airport.
E1221403 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: Capodichino | Statement: [LIRN, locatedNear, Capodichino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capodichino
Context triple: [LIRN, locatedNear, Capodichino]
  • A. Sorrento
    Sorrento is a picturesque coastal town in southern Italy overlooking the Bay of Naples, renowned for its dramatic cliffs, lemon groves, and role as a historic retreat for writers and artists.
  • B. Sorrento
    Sorrento is a residential suburb on the Gold Coast in Queensland, Australia, known for its canal-front homes along the Nerang River.
  • C. Motta Sant’Anastasia
    Motta Sant’Anastasia is a historic Sicilian town near Catania, known for its medieval Norman castle and distinctive volcanic landscape.
  • D. Bacoli
    Bacoli is a coastal town in southern Italy’s Campania region, known for its archaeological sites, thermal springs, and scenic position in the Phlegraean Fields near Naples.
  • E. Torre del Greco
    Torre del Greco is a coastal city in southern Italy, located near Naples on the slopes of Mount Vesuvius and known historically for its coral fishing and craftsmanship.
  • 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: Capodichino
Triple: [LIRN, locatedNear, Capodichino]
Generated description
Capodichino is a district in Naples, Italy, best known for hosting Naples International Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Capodichino
Target entity description: Capodichino is a district in Naples, Italy, best known for hosting Naples International Airport.
  • A. Sorrento
    Sorrento is a picturesque coastal town in southern Italy overlooking the Bay of Naples, renowned for its dramatic cliffs, lemon groves, and role as a historic retreat for writers and artists.
  • B. Sorrento
    Sorrento is a residential suburb on the Gold Coast in Queensland, Australia, known for its canal-front homes along the Nerang River.
  • C. Motta Sant’Anastasia
    Motta Sant’Anastasia is a historic Sicilian town near Catania, known for its medieval Norman castle and distinctive volcanic landscape.
  • D. Bacoli
    Bacoli is a coastal town in southern Italy’s Campania region, known for its archaeological sites, thermal springs, and scenic position in the Phlegraean Fields near Naples.
  • E. Torre del Greco
    Torre del Greco is a coastal city in southern Italy, located near Naples on the slopes of Mount Vesuvius and known historically for its coral fishing and craftsmanship.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e804e388190b684bde2c82ab770 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed6627081909dae6b4259a5609c completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fad87d481908d20e15392e6bdc9 completed May 10, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a007088fd988190b3dfef081769d03e completed May 10, 2026, 11:48 a.m.
Created at: April 10, 2026, 5:14 a.m.