Triple

T18998865
Position Surface form Disambiguated ID Type / Status
Subject SAVE S.p.A. E464891 entity
Predicate abbreviation P43 FINISHED
Object SAVE
SAVE is an Italian company, formally known as SAVE S.p.A., primarily involved in the management and development of airport infrastructure and related services.
 E1353322 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: SAVE | Statement: [SAVE S.p.A., abbreviation, SAVE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAVE
Context triple: [SAVE S.p.A., abbreviation, SAVE]
  • A. SAVE
    SAVE is the stock ticker symbol for Spirit Airlines, a U.S.-based ultra-low-cost carrier known for its no-frills service model.
  • B. Save
    The Save is a river in southwestern France that flows through the Occitanie region before joining the Garonne.
  • C. Salva
    Salva is the alias used by the mastermind character known as The Professor in the Spanish heist television series "Money Heist" (La Casa de Papel).
  • D. Saved
    "Saved" is a television drama series featuring Elizabeth Reaser in a prominent role, centered on the intense personal and professional challenges within the world of emergency medical services.
  • E. Saved
    Saved is a controversial 1965 stage play by British dramatist Edward Bond, known for its stark portrayal of working-class life and its role in challenging theatre censorship in the UK.
  • 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: SAVE
Triple: [SAVE S.p.A., abbreviation, SAVE]
Generated description
SAVE is an Italian company, formally known as SAVE S.p.A., primarily involved in the management and development of airport infrastructure and related services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAVE
Target entity description: SAVE is an Italian company, formally known as SAVE S.p.A., primarily involved in the management and development of airport infrastructure and related services.
  • A. SAVE
    SAVE is the stock ticker symbol for Spirit Airlines, a U.S.-based ultra-low-cost carrier known for its no-frills service model.
  • B. Save
    The Save is a river in southwestern France that flows through the Occitanie region before joining the Garonne.
  • C. Salva
    Salva is the alias used by the mastermind character known as The Professor in the Spanish heist television series "Money Heist" (La Casa de Papel).
  • D. Saved
    "Saved" is a television drama series featuring Elizabeth Reaser in a prominent role, centered on the intense personal and professional challenges within the world of emergency medical services.
  • E. Saved
    Saved is a controversial 1965 stage play by British dramatist Edward Bond, known for its stark portrayal of working-class life and its role in challenging theatre censorship in the UK.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6838f4481909b265e29964b0dca completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b45b9ca0819090a85f5708e9c632 completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b68205948190a6846e2cd8ba66ae completed May 14, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_6a05b73aa91c8190abe816e72d2f56f7 completed May 14, 2026, 11:51 a.m.
Created at: April 10, 2026, 12:01 p.m.