Triple

T14124099
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Zárate-Campana E339980 entity
Predicate servesCity P82 FINISHED
Object Campana
Campana is an industrial and port city in Buenos Aires Province, Argentina, located on the Paraná River northwest of Buenos Aires.
E1083351 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: Campana | Statement: [Roman Catholic Diocese of Zárate-Campana, servesCity, Campana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campana
Context triple: [Roman Catholic Diocese of Zárate-Campana, servesCity, Campana]
  • A. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • B. Albuccione
    Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • C. 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.
  • D. Kantua
    Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
  • E. Capena
    Capena was an ancient town in central Italy, historically associated with the cult and sanctuary of the goddess Feronia.
  • 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: Campana
Triple: [Roman Catholic Diocese of Zárate-Campana, servesCity, Campana]
Generated description
Campana is an industrial and port city in Buenos Aires Province, Argentina, located on the Paraná River northwest of Buenos Aires.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Campana
Target entity description: Campana is an industrial and port city in Buenos Aires Province, Argentina, located on the Paraná River northwest of Buenos Aires.
  • A. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • B. Albuccione
    Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • C. 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.
  • D. Kantua
    Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
  • E. Capena
    Capena was an ancient town in central Italy, historically associated with the cult and sanctuary of the goddess Feronia.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6095548881908a9e66adccca92d2 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e2b0248190ba40aa8395355052 completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd01330fb4819081dda9356739bbe3 completed May 7, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69fd019ffff881908a9e62df81058b17 completed May 7, 2026, 9:18 p.m.
Created at: April 9, 2026, 10:22 p.m.