Triple

T1510070
Position Surface form Disambiguated ID Type / Status
Subject Kalpeni E33993 entity
Predicate hasIsland P970 FINISHED
Object Pitti
Pitti is a small, uninhabited coral islet in the Lakshadweep archipelago of India, known as an important nesting site for seabirds.
E173233 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: Pitti | Statement: [Kalpeni, hasIsland, Pitti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitti
Context triple: [Kalpeni, hasIsland, Pitti]
  • A. Messe
    Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
  • B. Lucca
    Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
  • C. Ponte Vecchio
    Ponte Vecchio is a medieval stone arch bridge in Florence, Italy, famous for the shops built along it and its historic role spanning the Arno River.
  • D. Aosta
    Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
  • E. Tivoli
    Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
  • 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: Pitti
Triple: [Kalpeni, hasIsland, Pitti]
Generated description
Pitti is a small, uninhabited coral islet in the Lakshadweep archipelago of India, known as an important nesting site for seabirds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pitti
Target entity description: Pitti is a small, uninhabited coral islet in the Lakshadweep archipelago of India, known as an important nesting site for seabirds.
  • A. Messe
    Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
  • B. Lucca
    Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
  • C. Ponte Vecchio
    Ponte Vecchio is a medieval stone arch bridge in Florence, Italy, famous for the shops built along it and its historic role spanning the Arno River.
  • D. Aosta
    Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
  • E. Tivoli
    Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891e9da881909d0b12f1bc05863f completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad233c254c8190b52b34526c9cb3cb completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad242d20448190a27ff7414d9cff21 completed March 8, 2026, 7:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad24e6e9688190a20c67c181936e98 completed March 8, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:24 p.m.