Triple

T4292009
Position Surface form Disambiguated ID Type / Status
Subject Manhattan street grid E99614 entity
Predicate hasPlanningPrinciple P47536 FINISHED
Object regularity over topographic adaptation 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: regularity over topographic adaptation | Statement: [Manhattan street grid, hasPlanningPrinciple, regularity over topographic adaptation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlanningPrinciple
Context triple: [Manhattan street grid, hasPlanningPrinciple, regularity over topographic adaptation]
  • A. hasPlanningCharacteristic
    Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
  • B. implementsPrinciple chosen
    Indicates that an entity applies, follows, or puts into practice a specified principle in its design, behavior, or operation.
  • C. usesPrinciple
    Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
  • D. hasPlanningLevel
    Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
  • E. hasPlanningFunction
    Indicates that an entity is responsible for or involved in planning, organizing, or determining future actions or strategies.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3508035a08190b752c8edce0aff86 completed March 12, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69b347fc4c0c8190a7fcd814e27308a5 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:08 p.m.