Triple

T4891354
Position Surface form Disambiguated ID Type / Status
Subject Frentani E109569 entity
Predicate capital P234 FINISHED
Object Larinum
Larinum was an ancient city in central Italy that served as the principal urban center of the Frentani people.
 E476584 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: Larinum | Statement: [Frentani, capital, Larinum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larinum
Context triple: [Frentani, capital, Larinum]
  • A. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • B. Ennia
    Ennia was a former Dutch insurance company that later became part of Aegon through a merger.
  • C. Ennia
    Ennia is a historical figure known as the founder of the ancient city of Aegon.
  • D. Phonoi
    Phonoi are minor figures in Greek mythology personifying murder and killing, often depicted as malevolent spirits associated with bloodshed and violence.
  • E. Timandra
    Timandra is a figure from Greek mythology, traditionally considered one of the daughters of Tyndareus and Leda and thus a member of the same royal Spartan family as Helen of Troy and Clytemnestra.
  • 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: Larinum
Triple: [Frentani, capital, Larinum]
Generated description
Larinum was an ancient city in central Italy that served as the principal urban center of the Frentani people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larinum
Target entity description: Larinum was an ancient city in central Italy that served as the principal urban center of the Frentani people.
  • A. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • B. Ennia
    Ennia is a historical figure known as the founder of the ancient city of Aegon.
  • C. Ennia
    Ennia was a former Dutch insurance company that later became part of Aegon through a merger.
  • D. Phonoi
    Phonoi are minor figures in Greek mythology personifying murder and killing, often depicted as malevolent spirits associated with bloodshed and violence.
  • E. Timandra
    Timandra is a figure from Greek mythology, traditionally considered one of the daughters of Tyndareus and Leda and thus a member of the same royal Spartan family as Helen of Troy and Clytemnestra.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6892c02481908dc64c7e84aac3b2 completed March 21, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69be695116788190903fbd5e375bd31d completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:28 p.m.