Triple

T5602857
Position Surface form Disambiguated ID Type / Status
Subject Da Vinci Science City (concept and planning) E147160 entity
Predicate hasPlanningAspect P56805 FINISHED
Object concept design LITERAL FINISHED

How this triple was built (2 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: concept design | Statement: [Da Vinci Science City (concept and planning), hasPlanningAspect, concept design]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlanningAspect
Context triple: [Da Vinci Science City (concept and planning), hasPlanningAspect, concept design]
  • A. hasPlanningCharacteristic
    Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
  • B. hasPlanningConcept chosen
    Indicates that an entity is associated with, defined by, or governed by a particular planning-related concept or framework.
  • C. hasPlanningAssociation
    Indicates a relationship where one entity is involved with, linked to, or considered in the planning or preparation activities of another entity.
  • D. hasPlanningStatus
    Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
  • E. hasPlanningLevel
    Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
  • F. None of above.

Provenance (3 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020dce10c8190bf456602eec211d4 completed March 22, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69c01b1890ec8190b9e6fa488792e4d4 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:39 p.m.