Triple

T3221524
Position Surface form Disambiguated ID Type / Status
Subject Province of Latina E67521 entity
Predicate contains P35 FINISHED
Object Cori
Cori is a historic hilltop town in central Italy’s Lazio region, known for its ancient temples, medieval architecture, and wine production.
 E337688 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: Cori | Statement: [Province of Latina, contains, Cori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cori
Context triple: [Province of Latina, contains, Cori]
  • A. Cory
    Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
  • B. Colleen
    Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • C. Korina
    Korina is the surname of Irina Korina, a contemporary Russian artist known for her installations and sculptural works.
  • D. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • E. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • 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: Cori
Triple: [Province of Latina, contains, Cori]
Generated description
Cori is a historic hilltop town in central Italy’s Lazio region, known for its ancient temples, medieval architecture, and wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cori
Target entity description: Cori is a historic hilltop town in central Italy’s Lazio region, known for its ancient temples, medieval architecture, and wine production.
  • A. Cory
    Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
  • B. Colleen
    Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • C. Korina
    Korina is the surname of Irina Korina, a contemporary Russian artist known for her installations and sculptural works.
  • D. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • E. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1845408190b3eccd791231c69c completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2624f74b8819086fd54d0cf326fe9 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b264c54c508190be85da879935e7f4 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b268d60bd0819097194da2e9065947 completed March 12, 2026, 7:18 a.m.
Created at: March 8, 2026, 3:08 p.m.