Triple

T37665275
Position Surface form Disambiguated ID Type / Status
Subject Towers E937805 entity
Predicate areDesignedTo P9494 FINISHED
Object maximize height relative to footprint 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: maximize height relative to footprint | Statement: [Towers, areDesignedTo, maximize height relative to footprint]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areDesignedTo
Context triple: [Towers, areDesignedTo, maximize height relative to footprint]
  • A. isDesignedFor chosen
    Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
  • B. isDesignedAs
    Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
  • C. designedWith
    Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
  • D. designedToAvoid
    Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
  • E. designedToDefeat
    Indicates that one entity is intentionally created or configured with the purpose of overcoming, neutralizing, or rendering ineffective another entity.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba9e001c88190912781fa9a84f246 completed May 6, 2026, 8:51 p.m.
PD Predicate disambiguation batch_69fba887821c8190ae93ef1dd389e9c8 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:18 p.m.