Triple

T26072525
Position Surface form Disambiguated ID Type / Status
Subject TEFAF Maastricht E657586 entity
Predicate hasSisterFair P126083 FINISHED
Object TEFAF New York
TEFAF New York is a prestigious art fair in New York City that brings together leading international galleries specializing in fine art, antiques, and design.
 E657586 NE FINISHED

How this triple was built (3 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: TEFAF New York | Statement: [TEFAF Maastricht, hasSisterFair, TEFAF New York]
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: TEFAF New York
Triple: [TEFAF Maastricht, hasSisterFair, TEFAF New York]
Generated description
TEFAF New York is a prestigious art fair in New York City that brings together leading international galleries specializing in fine art, antiques, and design.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSisterFair
Context triple: [TEFAF Maastricht, hasSisterFair, TEFAF New York]
  • A. sisterFestivalOf chosen
    Indicates a relationship where two festivals are formally recognized as counterparts or partners, often sharing similar themes, origins, or collaborative ties.
  • B. hasSister
    Indicates that one entity is the sister of another entity.
  • C. hasSisterResort
    Indicates that one resort is formally associated with another as its sister property, typically under common ownership or branding.
  • D. sisterVenue
    Indicates that two venues are related as peers or counterparts, typically sharing ownership, branding, or affiliation without one being subordinate to the other.
  • E. hasSisterCommunity
    Indicates a formal or recognized partnership relationship between two communities, often for mutual support, exchange, or collaboration.
  • F. None of above.

Provenance (6 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_69ee5bbe539081909efc7f9dd7c1b53c completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b2ff9b48190ad73c598c7c514f7 completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111c6d51308190a083d3a650e57c94 completed May 23, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a111dca95888190bbe8b18c7603a5ba completed May 23, 2026, 3:23 a.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 26, 2026, 7:30 p.m.